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About Us

Applecart is the leading technology company creating a new category of “Decision Maker Marketing”. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them.

We are hiring a Principal Data Scientist in our NYC office.

About the Role:

As a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science. Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns.

Key responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction.

What You’ll Do

Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments.
Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy.
Lead the design and implementation of survey based approaches to build audience measurement metrics.
Communicate analytical concepts and results clearly to stakeholders.
Ensure data integrity and accuracy through rigorous model testing and validation.
Collaborate with engineering teams to integrate models into production systems for scalability and reliability.

Experiences and Capabilities You Bring:

Degree in a quantitative discipline (e.g., mathematics, statistics, computer science). An advanced degree is preferred but not required.
Deep understanding of machine learning, statistics, and data science.
7+ years of experience in data science and/or modeling.
7+ years in digital advertising.
Proficiency in Python (or R) and SQL.
Proven experience in building reach metrics in digital advertising.

Nice to Have Skills

Familiarity with survey research for audience measurement.
Strong experience in Spark is preferred.
Expertise in data wrangling and debugging machine learning systems.
Team-oriented, pragmatic, and able to build rapport.
Strong communication, writing, and critical thinking skills.
Experience in mentoring in data science, analytics, and predictive modeling.
Familiarity with big data technologies (e.g., Snowflake, Databricks) and cloud platforms (e.g., AWS, GCP) is a plus.

This is a hybrid role. Work from home on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday.

Compensation:

Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation.

The base salary range for this role is between $175,000-225,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area.

A few facts about us:

Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD.
Applecart is growing quickly — over the last 3 years, we’ve increased our bookings by 8X, grown our headcount by 4X, and we’re cashflow positive.
Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party’s most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher.
Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board.
Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

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Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high energy engineers to help achieve that mission.

The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT AI, a branch of CHAT, provides AI capabilities and solutions to the larger org in order to improve quality, security and productivity/throughput.

We are looking for a Principal Data Scientist to join our team!

Responsibilities

Identify opportunities for custom and existing AI solutions to drive business impact across the division
Design, develop, and implement AI and ML solutions to improve workflows and deliver measurable ROI
Stay informed on industry trends and advancements in AI, ML, and emerging enterprise technologies
Evaluate new enterprise solutions, effectively communicate their potential, and lead efforts to automate processes
Collaborate closely with cross-functional and virtual teams to ensure alignment and successful execution
Lead highly technical projects with a focus on customer satisfaction and business outcomes
Provide technical leadership while actively contributing to hands-on development and solution implementation
Coordinate with internal partners to identify pain points, define requirements, and deliver innovative software solutions
Operate effectively in a fast-paced environment using cutting-edge technologies and enterprise-level systems

Qualifications

Required/Minimum Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
7+ years of industry experience
1+ years of hands-on experience working with AI solutions in the industry

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements is necessary for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check.

Additional or Preferred Qualifications

Hands-on experience working with Azure
Hands-on experience designing and implementing complex automation projects.

Data Science IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 24th, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#AHSI #SCHIE

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Senior Advisor Data Science

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Senior Advisor Data Science on our Data Science Team in Bangalore/Hyderabad

What you’ll achieve
As a Senior Advisor Data Science, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

Solve business and customer problems utilizing LLM//Agents and traditional AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products C
Lead more junior data scientist and Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Proficient with writing sophisticated, clean, and object oriented Python code
Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression)
Professional experience in ML model deployment in production
Ability to work with internal stakeholders to transfer business questions into data science problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders

Desirable Requirements

Master’s or PhD in a quantitative discipline.
Professional experience with LLM/Agentic technologies

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 30-August-25

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

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Career Category

Information Systems

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a Principal AI Platform Architect—Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.

Roles & Responsibilities:

Define and evangelise the multi-year AI-platform vision, architecture blueprints and reference implementations that align with Amgen’s digital-transformation and cloud-modernization objectives.
Design and evolve foundational platform components—feature stores, model-registry, experiment-tracking, vector databases, real-time inference gateways and evaluation harnesses—using cloud-agnostic, micro-service principles.
Implement robust MLOps pipelines (CI/CD for models, automated testing, canary releases, rollback) and enforce reproducibility from data ingestion to model serving.
Embed responsible-AI and security-by-design controls—data-privacy, lineage tracking, bias monitoring, audit logging—through policy-as-code and automated guardrails.
Serve as the ultimate technical advisor to product squads: codify best practices, review architecture/PRs, troubleshoot performance bottlenecks and guide optimisation of cloud resources.
Partner with Procurement and Finance to develop TCO models, negotiate enterprise contracts for cloud/AI infrastructure, and continuously optimise spend.
Drive platform adoption via self-service tools, documentation, SDKs and internal workshops; measure success through developer NPS, time-to-deploy and model uptime SLAs.
Establish observability frameworks—metrics, distributed tracing, drift detection—to ensure models remain performant, reliable and compliant in production.
Track emerging technologies (serverless GPUs, AI accelerators, confidential compute, policy frameworks like EU AI Act) and proactively integrate innovations that keep Amgen at the forefront of enterprise AI.

Must-Have Skills:

5-7 years in AI/ML, data platforms or enterprise software, including 3+ years leading senior ICs or managers.
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
Proficiency in Python and Java; containerisation (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.
Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.

Good-to-Have Skills:

Experience in Biotechnology or pharma industry is a big plus
Published thought-leadership or conference talks on enterprise GenAI adoption.
Master’s degree in Computer Science, Data Science or MBA with AI focus.
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

Master’s degree with 10-14 + years of experience in Computer Science, IT or related field

Bachelor’s degree with 12-17 + years of experience in Computer Science, IT or related field
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences.

The Team & Role

Do you like being part of a team that is at the cutting edge of technological and business transformation? Do you enjoy facing new challenges, ambiguous, hard problems? Here at Zuora Platform tech, you will get the opportunity to mold your own projects using cutting edge technology, learn a great deal about multiple areas of the business, and generate true customer value.

In this role, you will not only influence but also directly transform how an entire section of the global economy works, through total monetization. As a core member of the AIMS team (AI, ML and science), you will be responsible for leveraging the latest AI technologies to enable total monetization for Zuora. Opportunities lie across the suite of Zuora products and beyond, to enable commerce, grow Zuora’s customer base, launch exciting new products/features, and to use AI to build, improve and optimize. The domain that we operate in provides access to hard problem statements that combine technical data science, statistical and/or econometric knowledge with business expertise-e.g. price optimization, demand sensitivity, forecasting, segmentation analyses, optimization through experimentation and cutting edge gen AI.

Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS

What you’ll do

Identify $ opportunities- think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics
Stakeholder relationships and strong communication- work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation.
Technical expertise, simplify complexity- build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Focus particularly on the data engineering aspect of the model building lifecycle. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value.
End to end ownership, delivering results- Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products.

Qualifications-

5+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
Strong data engineering background, with ETL experience, building and maintaining pipelines, data modeling, data warehousing concepts, and familiarity with Big Data techniques
Curious mind to learn, explore and identify biggest customer opportunities
Build strong relationships across both technical and business/product teams, earn trust with leadership
Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
Willingness to dive deep into the tech stack as well as hands-on coding
Experience in building end to end ML models, across the ML lifecycle
Strong communication and leadership presence
Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—it’s exciting. Our people, whom we refer to as “ZEOs\" are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world.

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

Competitive compensation, corporate bonus program and performance rewards, company equity and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days and company wide end of year break
6 months fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. For most roles, we offer the flexibility to work both remotely and at Zuora offices.

Our Commitment to an Inclusive Workplace

Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com.

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Company Overview

The Team & Role

Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS

What you’ll do

Identify $ opportunities- think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics
Stakeholder relationships and strong communication- work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation.
Technical expertise, simplify complexity- build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Focus particularly on the data engineering aspect of the model building lifecycle. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value.
End to end ownership, delivering results- Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products.

Qualifications-

5+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
Strong data engineering background, with ETL experience, building and maintaining pipelines, data modeling, data warehousing concepts, and familiarity with Big Data techniques
Curious mind to learn, explore and identify biggest customer opportunities
Build strong relationships across both technical and business/product teams, earn trust with leadership
Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
Willingness to dive deep into the tech stack as well as hands-on coding
Experience in building end to end ML models, across the ML lifecycle
Strong communication and leadership presence
Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
Bachelors/Masters in a technical or natural sciences domain from a top university

#ZEOLife at Zuora

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with:

Competitive compensation, corporate bonus program and performance rewards, company equity and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days and company wide end of year break
6 months fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Specific benefits offerings may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Our Commitment to an Inclusive Workplace

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\n \n General information\n

\n\n\n\n\n\n\n Location:\n \n\n Bangalore - Karnataka, India - Manyata Park Outer Ring Road\n \n\n\n\n Worker Type Reference:\n \n\n Regular - Permanent\n \n\n\n\n Pay Rate Type:\n \n\n Salary\n \n\n\n\n Career Level:\n \n\n T4(A)\n \n\n\n\n Job ID:\n \n\n R-44296-2025\n \n\n\n\n\n\n\n\n\n Apply \n\n\n\n\n\n

\n\n

\nFacebook\n
\nLinkedIn\n
\nX\n
\nEmail\n

\n\n\n\n\n\n\n\n\n\n\n\n\n

\n \n Description & Requirements\n

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Introduction: A Career at HARMAN - Harman Tech Solutions (HTS)

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions.

Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs.
Empower the company to create new digital business models, enter new markets, and improve customer experiences

About the Role

We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions.

What You Will Do

Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks.
Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals.
Utilize Large Language Models for text generation, summarization, and related applications.
Development, and implementation of machine learning models and algorithms.
Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Deploy machine learning models into production environments and monitor their performance.
Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture.
Stay up to date with the latest advancements in machine learning, Generative AI and related technologies.

What You Need

Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
8-12 years of hands-on experience in machine learning, data analysis, or software development.
Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc.
Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc.
Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation.
Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies.
Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT.
Excellent problem-solving skills and ability to think critically and creatively.
Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Ability to work independently and as part of a team in a fast-paced, dynamic environment.
Experience with big data tools and platforms, such as Hadoop, Spark, or Hive
Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc)
Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc.
Published research papers or contributions to the AI/NLP community.

What Makes You Eligible

Be willing to travel up to 25%, domestic and international travel if required.
Successfully complete a background investigation as a condition of employment

What We Offer

Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.)
Professional development opportunities through HARMAN University’s business and leadership academies.
Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment.
An inclusive and diverse work environment that fosters and encourages professional and personal development.
Tuition reimbursement.
“Be Brilliant” employee recognition and rewards program.

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

\n\n\n\n\n
Important Notice: Recruitment Scams\nPlease be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com.

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HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.\n\n\n\n\n\n\n\n\n\n Apply ","hiringOrganization":{"@type":"Organization","name":"HARMAN International","sameAs":"https://www.harman.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore - Karnataka, India - Manyata Park Outer Ring Road","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-08","description":"

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Compute and AI Infrastructure, building sophisticated analytical and optimization system to drive infrastructure optimization and efficiency improvements through data analysis, AI/ML/DL modeling and data visualization. As OCI continues to scale to the demand of an ever-growing customer base and regions, we need hands-on scientists who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of OCI Compute and AI Infrastructure. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: Seattle, WA - hybrid role 3 days in office

Responsibilities:

The Principal Data Scientist will be responsible for designing, building and maintaining large-scale data pipelines that support statistical analyses and machine learning model testing, and deployment, forecasting model for infrastructure maintenance and lead business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling
Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs
Create comprehensive data strategy to enable reporting and business analytics
Conduct research to evaluate data and answer strategic business questions
Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods
Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
Develop and maintain data architectures that support data warehousing, data lakes, and data governance
Work with cross-functional teams to integrate data pipelines
Ensure data quality, integrity, and security across all data pipelines and systems
Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability
Champion data engineering and data science principles
Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices
Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products

Basic Qualifications

BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field
8+ years of data science or software engineering experience
Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift.
Experience analyzing data, generating insights, and telling stories with data
Strong understanding of data governance, data quality, and data security principles
Excellent communication and collaboration skills

Preferred Qualifications

Data visualization and polished communication skills.
Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment
Highly analytical, technically proficient, and able to learn new tools and ML models quickly
Experience with GenAI LLM models
Experience with MLOps, building workflows for model retraining, monitoring and deploying
Experience with ML frameworks such as TensorFlow, PyTorch
Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure
Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI

\nDisclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

Collaborative Environment: Work with an international team in a flexible and supportive setting.
Analyze and support the setup of newly developed features, test processes, monitor outcomes, investigate issues and share insights with relevant stakeholders
Methodology Enhancement: Evaluate and improve current methodologies and algorithms within the Receipt Capture space
Deployment Support: Assist in the technical deployment of proposed enhancements and new solutions.
Documentation: Document findings, methodologies, and best practices comprehensively.

Qualifications

About You: You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights.
Educational Background: Master's degree in mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 5 years of relevant experience.
Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, and data validation techniques.
Data Analysis Skills: Python. + Statistical Experience - Proficiency in manipulating, analyzing, and interpreting large data sets.
Programming Proficiency: Experience with Python is a must have
Nice to Have: Databricks, PySpark, ML AI
Database Handling: Skilled in SQL and working with queries and large-scale databases.
Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.
Communication and Collaboration: Strong communication, writing, and collaboration skills.

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, 11, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-04","description":"

At Microsoft Power Automate, we are on a mission to empower every individual and every organization to achieve more through automation. We are transforming Process Automation by seamlessly integrating Digital (API) and Robotic (UI) Process Automation. In this “Age of AI”, we are at the forefront of leveraging the transformative power of generative AI to make authoring and execution of automations seamless, reliable and easy for all.

We are looking for a Principal Data Scientist in Power Automate.

This role is for an individual who has a desire to create seamless, intuitive, delightful experiences that will be validated using a data driven approach. This is an opportunity to work at the forefront of AI technologies and to partner with multiple teams both inside Microsoft and across the industry.

This role will be expected to architect, design and implement highly scalable and reliable AI solutions, including but not limited to application of LLMs/SLM to business problems, fine-tuning models to solve the hardest problems, prompt-engineering with advance techniques for Retrieval Augmented Generation and orchestration between cutting-edge frontier models.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Lead data science efforts in Power Automate.
Translate business requirements into concrete deliverables, including design, development, testing, and deployment of analytical solutions and scalable AI/ML solutions covering data-set preparation, prompt-engineering, model fine-tuning and agentic model orchestration.
Bring structure to problems, decomposing them into scalable solutions that drive measurable business impact.
Deliver high quality features with agility.
Incubate and prototype AI features with emerging technologies, latest AI models and frameworks.

Qualifications

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience
2+ years of generative AI experience

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

Experience building scalable applications and services, on scalable cloud platforms. with robust performance, resiliency and security.

Experience with delivering end-to-end features with AI using techniques for data preparation and curation, for prompt engineering, for model fine-tuning, for model evaluation, for model orchestration and for end-to-end operational excellence.

Experience working with LLMs like OpenAI's GPT

Proficiency in fine-tuning pre-trained models on domain-specific datasets

Experience in working with REST APIs for RAG and interacting with LLM-based systems.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until Aug 9, 2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#BICJOBS

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Principal data scientist","datePosted":"2025-08-03","description":"

As a AI/Principal Data Scientist specializing in LLMs, ML, and SQL, you will be responsible for deeply understanding business problem statements, determining the required data, and building analytical solutions. You will use Large Language Models to generate features from textual data and ensure the correct machine learning models are applied for optimal results. In addition to leveraging SQL and basic coding for data manipulation, you will also run models independently to provide actionable insights that address key business challenges.

Key Responsibilities:

Collaborate with stakeholders to understand business problems and translate them into data-driven problem statements.
Leverage Large Language Models (LLMs) to generate features from unstructured data (e.g., text) to enhance machine learning models.
Write and optimize SQL queries to manipulate, clean, and analyze structured data from various databases.
Use basic coding skills (e.g., Python) to handle data preprocessing, transformation, and running ML models independently.
Develop, train, and evaluate machine learning models, ensuring the correct model is selected for each problem.
Perform model validation, fine-tuning, and feature engineering to optimize performance
Communicate complex analytical findings in clear, concise ways to both technical and non-technical stakeholders.
Stay updated with the latest developments in LLMs, ML, and AI technologies to incorporate new techniques into solutions.

Qualifications:

Ph.D/ Master's degree in Computer Science, Artificial Intelligence, or a related field preferred.
5+ years of proven experience in data analysis, SQL query writing, and feature engineering for both structured and unstructured data.
Strong proficiency in using machine learning algorithms, including model selection, training, and evaluation.
Strong coding skills in Python for data preprocessing, cleaning, and running machine learning models.
Excellent communication skills for presenting insights and findings to both technical and non-technical audiences.
Demonstrated ability to thrive in a fast-paced startup environment and with a proven track record of leading AI initiatives from concept to execution.
Ability to develop and implement a strategic vision for AI within the company, aligning with business objectives.
Excellent communication and interpersonal skills, capable of articulating complex AI concepts to non-technical stakeholders.

","hiringOrganization":{"@type":"Organization","name":"Elevation Capital","sameAs":"https://www.elevationcapital.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai, Maharashtra, India - Remote","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-15","description":"

We are looking for a Principal Data Scientist to join the Power Apps Interface team - the team building the agentic platform at the heart of Microsoft’s next-generation business applications.

The future of software isn’t just low-code - it’s AI-first. It understands user intent and leverages generative code, autonomous agents, and intelligent UI. Power Apps is leading this transformation by reimagining app development as a workspace for human-agent collaboration where users co-create with copilots, delegate tasks to agents, and operate in a system of AI-infused experiences.

Our mission is to empower everyone - from professional developers to domain experts – with the ability to craft powerful business solutions through conversational design, generative UX, and a team of powerful agents. From adaptive controls to end-to-end agent workflows, our team builds the platform capabilities that enable seamless interaction between humans and AI within business-critical environments.

If you're passionate about redefining how people build software and want to shape the future of agent-based platforms and generative application development, this is the team for you. Join us and help build the intelligent core powering the next wave of enterprise innovation.

Responsibilities

As a Principal Data Scientist, your core mission will be partnering with the wider team to make sure data, data science (DS), and artificial intelligence (AI) are used effectively, efficiently, and responsibly. We are looking for candidates who love answering questions using data. You will lead by example by applying AI, machine learning, and data science to further Copilot and agentic product enhancements.  Additional responsibilities include:  

Working closely with a variety of teams like partner data science, engineering, and UX teams.

Developing ML models and solutions using classical algorithms as well as foundation models.

Deploying these solutions into production.

Measuring and reporting success, using A/B and shadow experiments, creating dashboards and reports as necessary.

Using data to answer business questions like potential impact and usage.

Customer journey, NSAT, churn, retention analysis.

Presentation of work in the team and at Microsoft, such as during Town Halls and MLADS.

Supporting business impact and evaluation supported decision making culture.

Qualifications

Required/Minimum Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

7 years experience of programming experience and ability to use different languages like: C#, Python, SQL, Kusto, etc.

3 years of experience in statistical tests.

5 years experience using data, investigating data, answering questions & solving puzzles using data, data visualization, and storytelling with data which required attention to detail.

Other Requirements: 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:

This position will be required to pass the Microsoft background check.

Additional or Preferred Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))

OR equivalent experience.

Publication history in respected data mining and AI conferences and journals.

Deep understanding of statistics and statistical theory.
Have taken qualifying courses on machine learning concepts including, and not limited to: decision trees and forests, gradient descent, logistic regression, deep neural networks, etc.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 29, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#BAPJobs #AI

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About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Responsibilities:

As organizations increasingly embrace AI, our new product is designed to help them do so safely, securely, and responsibly. It provides a trusted platform that supports both user-driven and agentic AI—empowering individuals to harness AI for insights and productivity, while enabling autonomous agents to act within clearly defined ethical and operational boundaries. Built with enterprise-grade security, compliance, and transparency at its core, the product ensures that data privacy and governance are never compromised.

We’re looking for a Principal Data Scientist reporting into our Senior Director, Software Engineering. This is a green field opportunity to define and build a new class of market defining products. This is a remote position within the United States. In this role, you will:

\n
Design, build, and implement machine learning models, including SLMs/LLMs, to enhance the intelligence and functionality of Zscaler’s internal and external platforms.
\n
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Conduct research and development in sophisticated AI/ML areas such as generative AI, predictive analytics, and anomaly detection.
\n
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Analyze complex datasets to extract key insights, continuously refining model accuracy and performance.
\n
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Collaborate with engineering and product teams to effectively integrate AI/ML technologies into Zscaler’s core solutions.
\n
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Stay current with advancements in ML, AI, and cybersecurity, applying specific knowledge of underlying frameworks and methodologies to ensure technical excellence.
\n

What We're Looking for (Minimum Qualifications):

\n
Possess an advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field, combined with a strong understanding of ML algorithms, deep learning, neural networks, and their applications.
\n
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Demonstrated experience (3-5+ years) in applying diverse data science models and advanced Natural Language Processing (NLP) techniques for large-scale data analysis.
\n
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Proficiency in Python and SQL, with hands-on experience using key ML frameworks (e.g., TensorFlow, PyTorch).
\n
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Skilled in data manipulation, visualization, and analysis techniques and tools.
\n
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Proven ability to independently solve complex problems and collaborate effectively within a team environment.
\n

What Will Make You Stand Out (Preferred Qualifications):

\n
Possess a strong foundation in mathematics and statistics, applying these to ML and AI, with hands-on experience in large generative models for text and image.
\n
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Proficient in cloud computing platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and data engineering principles, including SQL and NoSQL databases.
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Expertise in deploying scalable machine learning models to production environments, complemented by knowledge of advanced AI protocols such as A2A, Agentic AI, and MCP.
\n

#LI-BH1
#LI-Remote

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range$182,000—$260,000 USD

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

\n\n

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.

\n\n

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

Design, develop, and deliver solutions that will enhance and add value to new and existing data assets for broad industry application and aligned with business and market requirements. Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Performs data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.

Job Duties

Create data derivation and linkage through algorithm and/or data rules.
Create and select predictive features from raw data.
Create model reports for stakeholder review and model documentation.
Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined – an unknown problem, solve new problems (e.g., clustering, logistic regression, deep learning, support vector machines, boosting trees, supervised and unsupervised models).
Develop analytics using Python, PySpark and other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
Develop analytics solutions using traditional database technology such as SQL and big data technology such as Hadoop, MongoDB, Cassandra, Redis, PostgreSQL and Neo4j, NoSQL databases.
Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
Provide data science and analytic support for the Enterprise Data Solutions Group (EDSG) and interact with other EDSG teams as well as other business units.
QA and analyze large amounts of data to create appropriate data sets for model building.
Prepare and maintain programs and documentation for analytic models.
Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
Act as a consultant to EDSG’s data management and data technology teams.
Lead and provide technical leadership on data science project with other data scientists, data engineers, and data analysts.

Job Qualifications:

Master’s or higher in artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
Ability to thrive in a team environment and adapt to quickly changing priorities.
10+ years of directly related experience.
Strong problem solving and analytical ability.
Strong communication skills.
Ability to quickly and efficiently adapt to new concepts.
Demonstrated knowledge of statistical techniques.
Data mining/data analysis experience.
Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
Ability to work collaborative with cross-function teams and business units.
Demonstrated general business acumen; experience working in a real estate and mortgage related data industry a plus.
Ability to lead small team in technical projects.
Patents and publications in data science field a plus

Annual Pay Range:

112,700 - 155,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights include:

Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
Click here to see a comprehensive list of our benefit offerings.

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.

Global Applicant Privacy Policy

By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

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Overview:

Spotter is a platform for Creators, providing services and software designed to accelerate growth for the world’s best Creators and brands. Creators working with Spotter can access the capital, knowledge, community, and personalized AI software products they need to succeed. With unique knowledge of how Creators work, the resources they need to grow, and the challenges they face, Spotter is empowering top YouTube Creators to succeed.

Spotter has already deployed over $950 million to Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment in 2025. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.

Lead the Future of AI/ML for Top YouTube Creators and Brands!

Do you thrive on building cutting-edge deep learning models? Have you led the development of complex predictive AI/ML solutions that drove measurable impact? If you’re eager to push the frontiers of AI/ML powered predictive models, we want to connect with you.

We’re seeking a Principal Data Scientist to play a key role in driving our Capital Deployment and Advertising Sales strategies - powering some of the largest creators and brands on YouTube. This is an exciting opportunity to apply cutting-edge modeling techniques to impactful business challenges in the dynamic world of the creator economy.

What You'll Do

Lead the development and deployment of advanced AI/ML solutions and pipelines.
Architect, build and oversee predictive models using advanced machine learning techniques such as GBM, NLP, CNN, LSTM techniques to help grow Capital Deployment and Ad Sales business units.
Leverage large-scale digital data sources (Web, App, API) and sophisticated analytics platforms within an industry-leading Big Data ecosystem.
Design and deliver everything from basic reports to advanced machine learning models and algos to help YouTube creators to grow from “creators” to “enterprises” with world class underwriting models and brand efficient media solutions to optimize media yield.
Maintain, optimize and innovate analytic models driving all insights and reporting.
Enable visibility, generate insights and create early performance indicators for licensed content.
Conduct ad-hoc analysis to further enhance our understanding of content performance.
Partner with the Product team to revolutionize the product and services we offer with a data-driven approach.
Collaborate with the Engineering team to test, implement and deploy modeling solutions to production systems.

Who You Are

Master’s degree or PhD in Data Science or a related quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research) is required.
8+ years experience with a Master's or 6+ years professional experience with a PhD.
Extensive experience in developing and deploying advanced machine learning models (XGBoost, CNN, LSTM, SVM, or similar).
Experience in large data processing and handling is a plus - familiarity with big data platforms (Hadoop, Pig, Hive, Spark, AWS, Databrics), querying languages (SQL, scripting) and analytical languages (Python or R).
Proven ability to lead and mentor data science teams.
Strong expertise in MLOps strategies.
Experience with large-scale data processing and analysis.
Excellent communication and presentation skills.
Strategic thinker with the ability to translate complex technical concepts into actionable plans.
Passionate about staying up-to-date with the latest advancements in AI and LLMs.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Los Angeles. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $190k-$210k salary per year. The range listed is just one component of Spotter’s total compensation package for employees.

Spotter is an equal opportunity employer. Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information, marital status, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, use of or request for family or medical leave, political affiliation, or any other status protected under applicable federal, state or local laws.

Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.

","hiringOrganization":{"@type":"Organization","name":"Spotter","sameAs":"https://spotter.la/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Culver City, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-20","description":"

About Zscaler

Responsibilities:

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Design, build, and implement machine learning models, including SLMs/LLMs, to enhance the intelligence and functionality of Zscaler’s internal and external platforms.
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Conduct research and development in sophisticated AI/ML areas such as generative AI, predictive analytics, and anomaly detection.
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Analyze complex datasets to extract key insights, continuously refining model accuracy and performance.
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Collaborate with engineering and product teams to effectively integrate AI/ML technologies into Zscaler’s core solutions.
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Stay current with advancements in ML, AI, and cybersecurity, applying specific knowledge of underlying frameworks and methodologies to ensure technical excellence.
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What We're Looking for (Minimum Qualifications):

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Possess an advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field, combined with a strong understanding of ML algorithms, deep learning, neural networks, and their applications.
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Demonstrated experience (3-5+ years) in applying diverse data science models and advanced Natural Language Processing (NLP) techniques for large-scale data analysis.
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Proficiency in Python and SQL, with hands-on experience using key ML frameworks (e.g., TensorFlow, PyTorch).
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Skilled in data manipulation, visualization, and analysis techniques and tools.
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Proven ability to independently solve complex problems and collaborate effectively within a team environment.
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What Will Make You Stand Out (Preferred Qualifications):

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Possess a strong foundation in mathematics and statistics, applying these to ML and AI, with hands-on experience in large generative models for text and image.
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Proficient in cloud computing platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and data engineering principles, including SQL and NoSQL databases.
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Expertise in deploying scalable machine learning models to production environments, complemented by knowledge of advanced AI protocols such as A2A, Agentic AI, and MCP.
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#LI-BH1
#LI-Remote

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range$182,000—$260,000 USD

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Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.

\n\n

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

","hiringOrganization":{"@type":"Organization","name":"Zscaler","sameAs":"https://www.zscaler.com/careers"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington, USA; Remote - USA; San Jose, California, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-22","description":"

The Principal Data Scientist/AI Engineer is a senior technical expert who leads complex, high-impact AI initiatives across the organization. This role is responsible for driving architectural decisions, establishing reusable frameworks, and influencing the AI strategy at an enterprise level. The Principal AI Engineer operates as a cross-functional advisor, mentoring engineering teams, evaluating emerging technologies, and setting the long-term direction for AI systems at scale.

Key Responsibilities:

• Serve as the technical authority on all AI/ML and GenAI solutions across business lines
• Define and enforce AI security, ethical AI principles, and model governance guidelines in line with global standards
• Design and review architectures for GenAI, LLM integrations, and autonomous agent systems
• Develop reusable frameworks for MLOps, data pipelines, vector store integrations, and RAG-based systems
• Identify and integrate state-of-the-art AI capabilities, tools, and libraries through continuous research and experimentation
• Lead cross-functional technical reviews, influence design across product and engineering teams
• Mentor Lead and Senior Engineers on advanced system design, experimentation, and production deployment
• Represent AI Engineering in enterprise architectural councils or tech steering groups
• Build thought leadership through white papers, tech talks, and participation in AI communities

Qualifications:

• Master’s or PhD in AI/ML, Computer Science, or related quantitative field
• 8+ years of experience in advanced AI/ML solutioning, including system-level design
• Proven track record of leading large-scale, production-grade AI initiatives
• Deep expertise in GenAI: OpenAI/Anthropic APIs, model customization, LangChain, vector DBs, orchestration frameworks
• Advanced knowledge of cloud AI stacks (Azure preferred), data engineering, containerization, and MLOps workflows
• Strong understanding of security, privacy, explainability, and compliance in AI/ML solutions

Preferred Qualifications:

• Experience in defining enterprise-wide AI/ML standards and frameworks
• Participation in AI patent filings, publications, or open-source contributions
• Ability to influence non-technical leaders and translate technical depth into strategic direction

","hiringOrganization":{"@type":"Organization","name":"Ecolab","sameAs":"https://www.ecolab.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-Bangalore Office Block 3A, Thanisandra Main Rd, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-22","description":"

We’re looking for a Principal Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group.
This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolab’s Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline.
You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical use by building advanced data analytics science models your own software systems. You will be able to see the results of your efforts ripple throughout the company our systems in real-time. You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on the core metrics of the organization.

Responsibilities:

Collaborate with business stakeholders to understand and refine data-related questions and requirements
Utilize advanced analytics to uncover hidden insights in large datasets and provide actionable recommendations.
Design and implement data models and algorithms to support data-driven decision making.
Investigate internal and external data sources to determine availability, quality, and relevance
Identify, collect, and analyze relevant data needed to address specific business challenges
Propose solutions to close data gaps.
Define data structures, formats, and transformation logic needed to support reporting and analytics.
Leverage data science techniques to uncover trends, patterns, and correlations in large datasets.
Apply data science techniques to automate data validation processes and enhance data integrity.
Conduct thorough quality assurance checks on data to ensure accuracy and reliability.
Present findings and insights clearly to business stakeholders.
Stay current with emerging trends and technologies in data research, business intelligence, and data science.

Skills:

8+ years hands-on work experience in the domain of data science & analytics (work experience in IT, software engineering, data engineering or any other areas is to be treated as ‘extra’ and optional).
Proficient in AI/ML algorithms and implementation experience with Python libraries. (Pandas, Numpy, scikit-learn, TensorFlow, Keras)
Data mining & preparation using Python.
Proficient in statistical analysis to drive decisions.
Build and verify hypothesis based on abstract problem statement.
Practical experience with Databricks for writing and deploying code through jobs and pipelines.
Proficiency SQL (programming languages) for data science related assignments.
Experience on building and deploying pipelines in Microsoft azure.
Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA.
Fine-tune and evaluate Large Language Models for industry-specific tasks.
Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
Deep understanding of LLMs, prompt engineering, and transformer architectures.
Educational background in Math / Statistics / Engineering / Science.
Strong communication and teamwork abilities, with the ability to convey complex technical concepts to non-technical stakeholders.

","hiringOrganization":{"@type":"Organization","name":"Ecolab","sameAs":"https://www.ecolab.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-Bangalore Office Block 3A, Thanisandra Main Rd, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Principal Data Scientist","datePosted":"2025-08-18","description":"

Job Type:

Permanent

Build a brilliant future with Hiscox

Position: Principal Data Scientist

Reporting to: Lead Data Scientist

Location: London / York

Type: Permanent

Band: 3

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will utilise your technical skills and innovative mindset to tackle complex business problems and identify opportunities for growth. Additionally, you will provide ad hoc analysis and develop predictive and prescriptive models to foster a data-driven culture within Hiscox.

You will act as a technical mentor and guide to our team members, fostering best practices, elevating coding standards, and driving advanced analytical techniques across the team. Your ability to translate complex technical findings into clear, actionable insights for diverse stakeholders will be essential, ensuring alignment between our advanced solutions and specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain.

The role

As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. While your expertise will be pivotal in transforming our underwriting capabilities, your influence will extend across the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving.

You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality solutions that enable fast, impactful delivery to stakeholders. Beyond project leadership, you will act as a crucial mentor and coach, fostering technical growth and expertise among junior and mid-level colleagues, elevating the overall capability of the team. Crucially, you will collaborate extensively with other disciplines to ensure a holistic view is considered, facilitating smooth delivery and maximising business value.

Key Responsibilities:

· Utilise industry standards, emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches.

· Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing:

o Strong understanding of intricate business challenges and translation into technical problem statements.

o Working with diverse datasets, both internal and external.

o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.

· Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating technical standards, and cultivating advanced skill development within the team.

· Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities.

· Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration.

Person Specification:

To excel as a Principal Data Scientist, you will typically possess:

· Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.

· Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions.

· A background in data science within finance or insurance is advantageous but not required.

· Demonstrated capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.

· Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact.

· Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team.

· Strong understanding and practical experience with Agile development methodologies and software engineering best practices (e.g., version control, comprehensive testing, modular code) relevant to data science product delivery.

· Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non-technical stakeholders to drive data-driven decision-making and solution adoption.

· Demonstrable experience collaborating effectively with cross-functional teams (e.g., engineering, product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery.

Key Technical Skills:

· Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.

· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.

· Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.

· Solid understanding of foundational statistics and experimental design.

· Familiarity with or experience on cloud platforms

Impact and Achievements:

As a Principal Data Scientist, your success will be measured by your ability to:

· Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.

· Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.

· Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.

Work with amazing people and be part of a unique culture

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Please submit your application as soon as possible, as we reserve the right to close this advertisement at any time.

Cochlear’s mission is to help people hear and be heard. As the global leader in implantable hearing solutions, Cochlear is dedicated to helping people with moderate to profound hearing loss experience a world full of sound. We aim to transform the way people understand and treat hearing loss and innovate to connect people with future technologies. Our employees tell us that the number one reason they enjoy working for Cochlear is the opportunity to make a difference to people’s lives. Learn and grow with us as we tackle the most complex challenges in helping more people to experience a lifetime of hearing.

The Opportunity

Cochlear has an opportunity for a full-time Principal Data Scientist role based in our Macquarie, Sydney office to lead the development and integration of data science capabilities across R&D. You will guide the development of data strategies, mentor a growing guild of data scientists, and drive key cross-functional initiatives that enhance our product ecosystem. This role is essential in delivering next-generation AI-enabled tools to improve hearing outcomes, surgical guidance, and audiologist support. You will work at the intersection of innovation, technology, and patient-centric healthcare.

Responsibilities include:

Leading and mentoring a cross-functional community of R&D data scientists through a technical guild
Driving the development and implementation of AI-enabled features across medical products and services
Ensuring compliance with Good Machine Learning Practices (GMLP) and relevant AI regulations in a regulated medical device environment
Shaping Cochlear’s data science strategy in alignment with product and research innovation roadmaps
Collaborating with internal and external partners to build shared data lake infrastructures for research and product use
Supporting key research partnerships and participating in data-rich innovation projects
Acting as a technical expert and contributor to select R&D initiatives in surgical algorithms, hearing outcomes, or rehabilitation tools
Coordinating cross-functional data infrastructure projects across IT, Quality, Clinical, and Marketing teams

What makes this opportunity unique?

This role offers the chance to significantly contribute to Cochlear’s global innovation roadmap through advanced data science. You will be integral in transforming real-world insights into breakthrough solutions that improve the lives of people with hearing loss.

About You

To add value to Cochlear in this role, you'll be able to demonstrate the following skills and experience:

Essential Skills:

Data science experience in the Healthcare industry (>5y), preferably within medical devices for chronic disease, with proven research credentials.
Technical expertise in machine learning, statistical methods, and data pipeline architecture.
High creativity and a strong track record of innovation.
Strong planning and execution abilities in complex, multi-stakeholder environments.
Excellent communication skills, with the ability to align diverse teams and stakeholders.
Leadership skills both as a manager and influencer across functional boundaries.
Strategic thinking and ability to translate product visions into technical roadmaps.
Experience managing collaborative research and data infrastructure projects.
Agile mindset with the ability to balance speed and regulatory quality.
Willingness to travel significantly to engage with partners and stakeholders.

Ideal Skills:

Post-graduate qualification in data science, machine learning, statistics, or related technical discipline.
Proven strategic foresight and long-term planning capabilities.
Familiarity with intellectual property (IP) creation and technology evaluation.
5+ years of project management experience.
Experience working across IT, Clinical, Regulatory, and Marketing teams.
Expertise designing and implementing end-to-end data systems for research or product development.
Strong public speaking and presentation skills for both technical and general audiences.
Knowledge in audiology, hearing science, or hearing implant solutions.

If you feel that you have the skills and experience to be successful in this role and take on new challenges to build your career with Cochlear, please start your application by clicking the apply button below.

#CochlearCareers

How we recognise your contribution

At Cochlear we value and welcome the unique contributions, perspectives, experiences, and backgrounds of our employees and aim to build a culture that celebrates and leverages these differences, creating a sense of belonging and enabling our people to realise their full potential. Through our internal programs and employee benefits, we aim to create an environment where our people will feel value and supported. Whether your focus is on continuous learning, professional development or simply finding an environment which enables you to thrive whilst balancing family or personal life commitments, then we have several programs in place to support you.

For more information about Life at Cochlear, visit www.cochlearcareers.com

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Consultant Data Science

Join us to do the best work of your career and make a profound social impact as a Consultant Data Science on our Data Science Team in Bangalore/Hyderabad

What you’ll achieve
As a Consultant Data Science, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

Solve business and customer problems utilizing LLM//Agents and traditional AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products C
Lead more junior data scientist and Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Proficient with writing sophisticated, clean, and object oriented Python code Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression)
Professional experience in ML model deployment in production
Ability to work with internal stakeholders to transfer business questions into data science problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders .
Ability to play the technical lead / architect role for a team of data scientists

Desirable Requirements

Master’s or PhD in a quantitative discipline.
Professional experience with LLM/Agentic technologies

Who we are

Application closing date: 30-August-25

","hiringOrganization":{"@type":"Organization","name":"Dell Technologies","sameAs":"https://www.delltechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Principal Data Scientist","datePosted":"2025-08-08","description":"

Band

Level 4

Job Description Summary

-Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains.High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience .

Job Description

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives.

To do this, we are optimizing and strengthening our processes and ways of working.

We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

Apply today and welcome to where we thrive together!

The Role

As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners.

This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.

Key Accountabilities:

· You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.

· You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.

· You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.

Your Experience

· Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).

· More than 3 years experience in clinical drug development with extensive exposure to clinical trials.

· Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.

· Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.

· Excellent interpersonal and communication skills (verbal and writing)

· Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? : https://www.novartis.com/about/strategy/people-and-culture

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.

Join our Novartis Network:

Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network

Skills Desired

Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London (The Westworks), United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Principal Data Scientist","datePosted":"2025-08-08","description":"

Job Description Summary

Job Description

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people’s lives.

To do this, we are optimizing and strengthening our processes and ways of working.

We are investing in new technologies and building specific therapeutic area and platform depth and capabilities – all to bring our medicines to patients even faster.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

Apply today and welcome to where we thrive together!

The Role

This role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office.

Key Accountabilities:

· You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.

· You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.

Your Experience

· Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).

· More than 3 years experience in clinical drug development with extensive exposure to clinical trials.

· Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.

· Excellent interpersonal and communication skills (verbal and writing)

· Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.

Join our Novartis Network:

Skills Desired

Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London (The Westworks), United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Principal Clinical Data Scientist","datePosted":"2025-08-06","description":"

Band

Level 4

Job Description Summary

Internal Role Title: Principal Clinical Data Scientist

Location: Mumbai & Hyderabad #LI-Hybrid

About the Role:

We are looking for a dedicated Principal Clinical Data Scientist to oversee all aspects of data management, coding, CDD, and DAP for several studies or medium to large-sized projects. This role is crucial in ensuring that pharmaceutical drug development plans at Novartis Global Drug Development are executed efficiently with high-quality deliverables. The successful candidate will conceptualize and implement scalable training delivery models and platforms, follow and oversee Good Clinical Practices (GCP), and ensure consistency across assigned programs to aid efficiencies for submissions.

Job Description

Key Responsibilities: -

Lead functional activities for medium to large-sized projects in phase I to IV clinical studies within the Novartis Global Development Organization.
Coordinate activities of Data Managers, both internally and externally.
Make data management decisions and propose strategies at the study or project level.
Ensure the application of consistent data management processes, increasing standardization and documentation across assigned projects/programs.
Provide and implement data management solutions, ensuring knowledge sharing.
Lead process and training deliverables within multiple platforms, franchises, or therapeutic areas, developing strategies for effective training and knowledge retention.
Represent Data Operations (DO) in all audits and inspections, centralizing and aligning the team in audit preparation, readiness, and response.

Essential Requirements:-

Proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data.
Strong project management skills with the ability to manage multiple tasks and projects simultaneously.
Cross-cultural experience and functional breadth in managing clinical data management activities.
Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting.
Excellent communication and interpersonal skills to build and maintain effective working relationships with cross-functional teams.
Proficiency in using data management tools to generate listings for data review and provide these to study teams.

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Skills Desired

Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai (Office), India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Principal Clinical Data Scientist","datePosted":"2025-08-06","description":"

Job Description Summary

Job Description

Key Responsibilities: -

Lead functional activities for medium to large-sized projects in phase I to IV clinical studies within the Novartis Global Development Organization.
Coordinate activities of Data Managers, both internally and externally.
Make data management decisions and propose strategies at the study or project level.
Ensure the application of consistent data management processes, increasing standardization and documentation across assigned projects/programs.
Provide and implement data management solutions, ensuring knowledge sharing.
Lead process and training deliverables within multiple platforms, franchises, or therapeutic areas, developing strategies for effective training and knowledge retention.
Represent Data Operations (DO) in all audits and inspections, centralizing and aligning the team in audit preparation, readiness, and response.

Essential Requirements:-

Proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data.
Strong project management skills with the ability to manage multiple tasks and projects simultaneously.
Cross-cultural experience and functional breadth in managing clinical data management activities.
Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting.
Excellent communication and interpersonal skills to build and maintain effective working relationships with cross-functional teams.
Proficiency in using data management tools to generate listings for data review and provide these to study teams.

Why Novartis?

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Skills Desired

Clinical Data Management, Data Architecture, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Data Strategy, Master Data, Waterfall Model","hiringOrganization":{"@type":"Organization","name":"Novartis","sameAs":"https://www.novartis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai (Office), India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Principal Data Scientist (Statistician)","datePosted":"2025-08-06","description":"

Company Description

Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled and experienced Statistician with expertise in fields such as statistics, mathematics, econometrics, and computer science. You will work on our core projection methodologies and sample related initiatives.

Job Description

Collaborative Environment: Work with an international team in a flexible and supportive setting.
Methodology Enhancement: Evaluate and improve current methodologies related to sampling, projection/weighting, optimization
Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis
Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges.
Deployment Support: Assist the technical deployment of proposed enhancements and new solutions.
Documentation: Document findings, methodologies, and best practices comprehensively.

Qualifications

About You

Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights.

Educational Background: Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 7 years of relevant experience.
Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, sampling, and data aggregation techniques.
Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels.
Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.
Programming Proficiency: Experience with Python or another high-level programming language, with a willingness to learn Python.
Database Handling: Skilled in SQL and working with queries and large-scale databases.
Continuous Learning: Eagerness to adopt and develop evolving technologies and tools
Communication and Collaboration: Strong communication, writing, and collaboration skills.

Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team!

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, 11, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Principal Data Scientist -AVP","datePosted":"2025-08-12","description":"

The State Street Investment Management - Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Principal Data Scientist, Assistant Vice President at Hangzhou office. This role will play a key role in leading the solution delivery of AI technology services provided to the Global Advisors business at State Street. The role will be an important player in the DAAIS for AI services supporting the COO’s organizational delivery of the technology platforms in a federated model to Global Advisors, State Street, and our clients. The role will function as the GenAI specialist and solution lead for GenAI related services working closely with the State Street affiliates, Global Technology Services (GTS) and other third-party vendors used within the SSGA ecosystem globally. The role and the team will provide GenAI architectural solution to the COO’s delivery of technology platforms and services according to the GTS architectural standards and operate under a federated operating model to deliver against a target end state AI ecosystem blueprint. In addition, the role needs to adopt GTS AI related technology, risk, security, and data governance standards.

This is a principal data scientist role for candidate who has very strong hands-on GenAI solution design and development experience, as well as strong team collaboration skills and leadership. The candidate should have rich experience of GenAI application development. The candidate has 5+ years of experience in asset management. This is someone who also has demonstrable leadership in developing service-oriented model solution, has delivered enterprise platform and/or commercialized AI product. The candidate has excellent technical and problem-solving skills, someone with creativity and self-motivation to deliver on mission critical projects with tight timelines and competing priorities.

Responsibilities:

Lead a small agile team to deliver highly effective GenAI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and GenAI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity.
Become subject matter expert in GenAI/LLM model evaluation, benchmarking, solution design, development, and validation, as well as agentic AI architecture and implementation.
Integrate, customize, and train known LLMs and agentic frameworks to solve financial problem, perform validation, and fix bugs.
Drive model rationalization, reusability, scalability and implement modern MLOps and model observability.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
1+ years of experience with GenAI solution, hardcore development experience with known LLMs (OpenAI ChatGPT, Llama, Mistral, Claude, or DeepSeek), Agentic AI technologies like MCP, prior experience with RAG, Text2SQL, fine tuning, distillation, and responsible AI framework integration.
8+ years of hands-on coding experience with foundational AI/ML algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing algorithms like underlying transformer and attention mechanisms.
8+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

GenAI/LLMs, Data Science and Machine Learning Frameworks (Anthropic, MCP, Agentic AI, RAG, Text2SQL, Vectorized DB, Agentic Flow management frameworks like LangGraph, AutoGen, CrewAI, LangChain, LlmaIndex).
Prior data scientist role in financial institution and model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
Passed Charted Financial Analyst (CFA) level II or equivalent.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

","hiringOrganization":{"@type":"Organization","name":"State Street","sameAs":"https://www.statestreet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hangzhou, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Principal Data Scientist -AVP","datePosted":"2025-08-12","description":"

Responsibilities:

Lead a small agile team to deliver highly effective GenAI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and GenAI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity.
Become subject matter expert in GenAI/LLM model evaluation, benchmarking, solution design, development, and validation, as well as agentic AI architecture and implementation.
Integrate, customize, and train known LLMs and agentic frameworks to solve financial problem, perform validation, and fix bugs.
Drive model rationalization, reusability, scalability and implement modern MLOps and model observability.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
1+ years of experience with GenAI solution, hardcore development experience with known LLMs (OpenAI ChatGPT, Llama, Mistral, Claude, or DeepSeek), Agentic AI technologies like MCP, prior experience with RAG, Text2SQL, fine tuning, distillation, and responsible AI framework integration.
8+ years of hands-on coding experience with foundational AI/ML algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing algorithms like underlying transformer and attention mechanisms.
8+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

GenAI/LLMs, Data Science and Machine Learning Frameworks (Anthropic, MCP, Agentic AI, RAG, Text2SQL, Vectorized DB, Agentic Flow management frameworks like LangGraph, AutoGen, CrewAI, LangChain, LlmaIndex).
Prior data scientist role in financial institution and model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
Passed Charted Financial Analyst (CFA) level II or equivalent.

","hiringOrganization":{"@type":"Organization","name":"State Street","sameAs":"https://www.statestreet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hangzhou, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Principal Data Scientist AVP","datePosted":"2025-08-12","description":"

The State Street Investment Management - Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Principal Data Science, Assistant Vice President at Hangzhou office. This role will play an important role in leading the solution delivery of AI technology services provided to the Global Advisors business at State Street. The role will be a key player in the DAAIS organization for AI services supporting the COO’s organizational delivery of the AI platforms in a federated model to Global Advisors, State Street, and our clients. The role will function as the AI specialist and solution lead for AI related services working closely with the State Street affiliates, Global Technology Services (GTS) and other third-party vendors used within the SSGA ecosystem globally. The role and the team will provide AI architectural solution to the COO’s delivery of technology platforms and services according to the GTS architectural standards and operate under a federated operating model to deliver against a target end state AI ecosystem blueprint. In addition, the role needs to adopt GTS AI related technology, risk, security, and data governance standards.

This is a principal data scientist role for candidate who has very strong hands-on foundational AI solution design and development experience, as well as strong team collaboration skills and leadership. The candidate should have rich experience for AI application development. The candidate has 5+ years of experience in asset management. This is someone who also has demonstrable leadership in developing service-oriented AI solution, has delivered enterprise platform and/or commercialized AI product. The candidate has excellent technical and problem-solving skills, someone with creativity and self-motivation to deliver on mission critical projects with tight timelines and competing priorities.

Responsibilities:

Lead a small agile team to deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and AI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity.
Develop, train, and mentor junior data scientists, ensure their continuous growth and development, and foster a high-performance team culture.
Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.
Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial market problem and perform validation and bug fixes.
Drive model rationalization, reusability, scalability and implement modern MLOps and model observability.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external model validation group and implement changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
8+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models and reinforcement learning.
8+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

Prior data scientist role in financial institution and model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PostgreSQL, Hadoop, etc.).
Passed Charted Financial Analyst (CFA) level II or equivalent.

","hiringOrganization":{"@type":"Organization","name":"State Street","sameAs":"https://www.statestreet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hangzhou, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Principal Data Scientist -AVP","datePosted":"2025-08-12","description":"

Responsibilities:

Lead a small agile team to deliver highly effective GenAI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and GenAI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity.
Become subject matter expert in GenAI/LLM model evaluation, benchmarking, solution design, development, and validation, as well as agentic AI architecture and implementation.
Integrate, customize, and train known LLMs and agentic frameworks to solve financial problem, perform validation, and fix bugs.
Drive model rationalization, reusability, scalability and implement modern MLOps and model observability.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
1+ years of experience with GenAI solution, hardcore development experience with known LLMs (OpenAI ChatGPT, Llama, Mistral, Claude, or DeepSeek), Agentic AI technologies like MCP, prior experience with RAG, Text2SQL, fine tuning, distillation, and responsible AI framework integration.
8+ years of hands-on coding experience with foundational AI/ML algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing algorithms like underlying transformer and attention mechanisms.
8+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

GenAI/LLMs, Data Science and Machine Learning Frameworks (Anthropic, MCP, Agentic AI, RAG, Text2SQL, Vectorized DB, Agentic Flow management frameworks like LangGraph, AutoGen, CrewAI, LangChain, LlmaIndex).
Prior data scientist role in financial institution and model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
Passed Charted Financial Analyst (CFA) level II or equivalent.

","hiringOrganization":{"@type":"Organization","name":"State Street","sameAs":"https://www.statestreet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hangzhou, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Principal Data Scientist","datePosted":"2025-08-15","description":"

Innovation starts from the heart. Our Advanced Technology (AT) teams harness the imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future. If you’re an early-stage innovator, then Edwards AT team is the place for you to take the next steps in your career. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.

Imagine how your ideas and expertise can change a patient’s life. We generate extensive clinical evidence to demonstrate the effectiveness and safety of our innovations and how our products transform patients’ lives. As part of our Clinical Affairs team, you’ll hone your scientific curiosity and passion for evaluating data to increase access to pioneering technologies for patients in need. In close partnership with principal investigators, dedicated medical professionals, patient advocacy groups, and regulatory authorities, you will drive the evidence needed to optimize patient outcomes.

You will make an impact by...

Leading the development and implementation of machine learning solutions and large language models to optimize clinical trial processes
Collaborating with cross-functional teams to apply predictive modeling, ensure data accuracy, and deliver insights through dashboards
Driving AI/ML strategy and overseeing data governance for machine learning initiatives
Providing expertise in the creation of machine learning and AI foundations for the assigned Business Unit Clinical Affairs
Offering technical guidance on predictive modeling and algorithms to help team members optimize clinical trial data
Identifying new objectives and goals to enhance business processes and improve model performance and data accuracy
Partnering with internal and external stakeholders to plan implementation meetings, including testing and training machine learning models while monitoring outcomes
Delivering dashboard reports to leadership on the effectiveness of machine learning tools and applications to support data-driven decision-making
Leveraging various sources of data to develop enhanced solutions in collaboration with stakeholders across the business
Developing procedures and guidelines to support the future of machine learning development within the assigned Business Unit
Performing other incidental duties as assigned

What you'll need (Required):

Bachelor's degree in computer science, Engineering, Biostatistics or Scientific field, Plus 8 years related experience including either industry or industry/education
Master's degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, Plus 7 years related experience including either industry or industry/education
Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field, Plus 4 years related experience including either industry or industry/education Required

What else we look for (Preferred):

Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
Experience using statistical computer languages (e.g., R, Python, SQL, etc.) to manipulate large data sets
Experience in data visualization tools (i.e. Qlikview, Tableau, etc.)
Experience with using web services (e.g., Redshift, S3, Spark, etc.)
Excellent documentation and communication skills
Excellent interpersonal relationship skills including negotiating and relationship management skills
Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)
Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred
Excellent and successful project management skills
Recognized as an expert in own area within the organization
Expert knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
Advanced problem-solving, organizational, analytical and critical thinking skills
Expert understanding of processes and equipment used in assigned work
Strong leadership skills and demonstrated ability to influence change
Strict attention to detail
Ability to interact professionally with all organizational levels
Ability to manage competing priorities in a fast-paced environment
Represents organization as key technical contact on contracts and projects
Interacts with senior external representatives on significant technical matters often requiring coordination between organizations
Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control

Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.

For California (CA), the base pay range for this position is $142,000 to $201,000 (highly experienced).

The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.

Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

COVID Vaccination Requirement

Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

","hiringOrganization":{"@type":"Organization","name":"Edwards Lifesciences","sameAs":"https://www.edwards.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA IRV-17011 Redhill/DBC1-5, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Principal Applied Data Scientist","datePosted":"2025-08-15","description":"

Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

Role summary:

As an individual contributor Principal Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.

We are looking for a applied data scientist with the proven ability to manage project timelines and deliver high-quality AI products that align with business goals.

The successful candidate will combine strong technical thought leadership with a collaborative approach to ensure team success.

What you'll be doing:

This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.

Lead end to end technical development process including; Design, develop and deploy production-level AI models and data-driven solutions that aligns with strategic business objectives.
Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
Research and evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
Establish and apply model evaluation and coding standards to maintain production grade code.
Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.

What you'll bring:

Essential Skills

Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
Proven track record of setting model quality and coding best practices to ensure high-quality products.
Excellent communication and negotiating skills for conveying complex technical concepts and project considerations to both technical and non-technical partners.

Desirable skills

Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

Education

Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return:

High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

","hiringOrganization":{"@type":"Organization","name":"LSEG","sameAs":"https://www.lseg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Principal Data Scientist - CoreAI","datePosted":"2025-08-14","description":"

CoreAI is Microsoft’s central organization building the foundational platforms and tools to power AI experiences across products including GitHub Copilot, Azure AI Foundry, and Copilot Studio. The team is expanding rapidly and is establishing a world-class data analytics platform to support data-driven decision-making and enhance growth strategies.

We are looking to hire a Principal Data Scientist - CoreAI to join the Agentic Growth team. This individual will be responsible for collaborating with teams across CoreAI to establish trustworthy data sets, provide actionable insights and analysis, and drive innovation specifically in growth analytics and product development for GitHub Copilot. The ideal candidate will thrive in a fast-paced culture, demonstrating the ability to adapt quickly to changing priorities while delivering measurable results that propel agentic growth initiatives forward.

We do not just value differences or different perspectives. We actively seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Modeling and Statistical Analysis
Coding and Debugging
Evaluating for Insight and Impact
Data preparation and understanding
Business understanding and impact

Qualifications

Required/Minimum Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  - OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    - OR equivalent experience.
3+ year experience in basic hypothesis testing, p-values and trustworthy experiment design

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

5+ years' experience with development using at least one of the following languages: SQL, Python, C# or Java. 
5+ year experience in basic hypothesis testing, p-values and trustworthy experiment design.

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#CoreAI

","hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://www.microsoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Principal/Staff Data Scientist","datePosted":"2025-08-13","description":"

Company Overview

10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.

Role

As a Principal/Staff Data Scientist you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimize exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.

Responsibilities

Lead the design and implementation of end-to-end data science projects, from defining business problems to deploying advanced machine learning models at scale.
Architect and build predictive models, statistical algorithms, and machine learning systems to solve complex business challenges and enhance decision-making.
Provide technical leadership and mentorship to junior data scientists, promoting best practices and guiding technical development across the team.
Innovate new methodologies in machine learning and AI, staying at the forefront of emerging tools, techniques, and industry trends.
Lead cross-functional teams, ensuring alignment and seamless integration between data science, engineering, and business teams.
Implement robust data governance, validation, and quality assurance processes to ensure the integrity and reliability of data science outputs.
Partner with data engineering and IT teams to build scalable, automated data pipelines that support data science initiatives.
Present complex data insights and machine learning results to non-technical stakeholders, ensuring clarity and business relevance.
Drive the design and execution of experiments, A/B tests, and statistical analyses to measure and optimize the impact of data-driven decisions.
Ensure compliance with regulatory requirements, data security, and governance protocols when building scalable data science solutions.
Understand client needs and provide tailored, strategic solutions that align with business objectives.
Build strong relationships by clearly communicating technical concepts and managing expectations.
Actively participate in recruiting top technical talent for the team.
Collaborate with the sales team in presales activities, identifying client needs, providing technical expertise, and crafting data-driven solutions to meet business requirements.
Define and implement data strategies to support exploration, drilling, and production business goals.
Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems).
Ensure data accuracy, consistency, and security while adhering to industry compliance standards.
Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimization).
Develop algorithms for seismic data interpretation, reservoir characterization, and well-performance forecasting.
Optimize workflows using natural language processing (NLP) for unstructured data, such as drilling reports and maintenance logs.
Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities.
Utilize geospatial analysis and geostatistical techniques to interpret geological and geophysical data.
Implement real-time data analytics for drilling, well monitoring, and production enhancement.
Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.
Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.
Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.
Collaborate with engineers, geophysicists, and reservoir managers to translate business challenges into data science solutions.
Communicate technical findings to non-technical stakeholders through visualizations and reports.
Develop optimization models for energy efficiency, cost reduction, and supply chain logistics.
Enhance drilling accuracy and reduce downtime through predictive analytics for equipment maintenance.
Implement risk assessment models to improve safety and compliance standards.
Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis.
Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).
Hands-on experience with visualization tools like Power BI, Tableau, or D3.js.
Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton’s Decision Space.

Requirements

Advanced degree (master's or PhD) in Data Science, Computer Science, or a related field.
7+ years of experience in data science.
Demonstrated success in leading data-driven projects.
Deep knowledge of machine learning and statistical modelling
Strong programming and data engineering skills.
Excellent problem-solving and communication abilities.
Proven track record of innovation in multiple industries

","hiringOrganization":{"@type":"Organization","name":"10Pearls","sameAs":"https://10pearls.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Karachi, Lahore, Islamabad","addressCountry":"Pakistan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Principal Data Scientist - Discovery Experiences","datePosted":"2025-07-18","description":"

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers.

WHY DISCOVERY EXPERIENCES?

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders, you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

You Will:

Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
Report directly to the Senior Director, Data Science on the consumer

You Have:

Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields
10+ years of industry experience in data science, economics, analytics, or machine learning engineering
7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
Knowledge of ML and Deep Learning either via formal training or industry experience
Ability to apply creative first-principles reasoning to solve ambiguous problems
Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range$348,910—$424,070 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.

","hiringOrganization":{"@type":"Organization","name":"Roblox","sameAs":"https://www.roblox.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Principal Data Scientist (Machine Learning)","datePosted":"2025-07-18","description":"

Company Description

We are a global, diverse team passionate about developing world-class solutions to reveal the complete consumer journey to our clients. We are looking for a Principal Data Scientist to lead the transformation of how we measure consumer behavior across digital and physical channels.

Be part of the exciting journey to transform our panel measurement business.

Job Description

Join a global, international team in a flexible working environment.

Lead the development and implementation of advanced machine learning methodologies, with a strong emphasis on deep learning, to enhance panel measurement products.

Present and communicate findings and strategic recommendations based on research and analysis.

Prototype innovative solutions and methodologies to address emerging market challenges.

Support and guide the production deployment of machine learning models and data science solutions.

Document findings, methodologies, and best practices to ensure knowledge sharing and reproducibility.

Qualifications

You would be an excellent addition to our team if you possess deep expertise in machine learning and have hands-on experience applying advanced statistical and ML methods to solve real-world problems.

We are looking for:

· A Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related discipline, coupled with at least five years of relevant experience.

· A Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related discipline, with at least five years of relevant experience (a PhD is considered as counting toward the required years of experience).

· Comprehensive knowledge of core concepts and theoretical foundations underpinning machine learning models, particularly within deep learning.

· Advanced proficiency in Python, with hands-on expertise using deep learning frameworks such as TensorFlow and PyTorch.

· Familiarity with cloud computing technologies, especially Azure.

· Experience in utilizing Databricks and Azure AI Studio for the development and deployment of machine learning solutions is preferred.

· Proficient in version control systems, including Git.

· Good analytical skills with the ability to manipulate, interpret, and derive insights from complex data sets.

· Demonstrated commitment to ongoing professional development and adaptability to emerging technologies and tools.

· Proven ability to take ownership of projects, proactively identify opportunities, resolve challenges, and drive initiatives independently.

· Good written and verbal communication skills, complemented by a collaborative approach to teamwork.

Additional Information

Nice to Have:

· Knowledge of consumer behavior and experience with (un)managed consumer-related crowdsourced panels.

· Experience in supporting technology teams in production deployment and scaling of ML solutions.

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, 11, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Principal Data Scientist (onsite role)","datePosted":"2025-07-16","description":"

Oracle’s Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Principal Data Scientist, you will work closely with the technical, engineering and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for working on innovative projects for the team, collaborating with other experienced professionals, communication with both internal and external stakeholder leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience and the ability to lead and collaborate with other experienced technical professionals.

What we offer

Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide.
Opportunities for career growth and technical leadership
Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions
Evaluating and understanding large production deep learning systems composed of dozens of models.
Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating.

Required skills

MS in Computer Science, Data Science, Machine Learning, or related technical fields
At least 8 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions
Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis
Strong software development experience through hands on coding
Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM)
Familiarity with version control practices (Git), containers, MLOps
Experience with at least one cloud platform
Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving
Good communication skills to convey sophisticated topics in straightforward terms to stakeholders (internal or external)
A drive to solve hard problems at scale
Experience in technical writing, project documentation, and/or technical publications

Preferred Skills

PhD in Computer Science, Data Science, Machine Learning, or related technical fields
Familiarity with Learning to Rank models, recommender systems, especially deep learning-based recommender systems, computer vision models, Generative AI models
Familiarity with ML model provenance, model versioning, and model catalogs
Familiarity with serverless architecture, ML model hosting strategies, and model testing techniques

Career Level - IC4

We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.

","hiringOrganization":{"@type":"Organization","name":"Oracle","sameAs":"https://www.oracle.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"READING, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Search - Workchat - Principal Data Scientist","datePosted":"2025-07-18","description":"

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role:

The Search Data Science team is responsible for developing and integrating statistical tools and machine learning models within the Search domain in support of semantic search, RAG, agentic search, and chat applications. As a Data Scientist in this area, you will work closely with our Product teams to lead the innovation, incubation, and prototyping phases of how to evolve and transform our AI/ML driven Search experiences and solutions with a focus on quickly bringing new ideas to production and into the hands of our customers. Your primary focus will be driving forward research and development in support of improving semantic search with proprietary models and customized open source models, developing techniques and models for query and document understanding, implementing RAG and LLM-driven search experiences, and developing tooling to help customers design and implement successful end-to-end RAG systems. Furthermore, you’ll be investigating aspects of modern agentic search including reasoning engines, prompt engineering techniques, query understanding, and more. Doing this requires exploring and benchmarking new open source models, and existing proprietary Elastic models, while keeping up to date with the latest major advancements in the fields of NLP and information retrieval.

What You Will Be Doing:

Explore, select and benchmark open source and Elastic proprietary models
Implementing RAG and other LLM-based search experiences
Designing evaluation protocols for semantic search, tool selection, and generation in LLM-based search experiences
Keeping up-to-date with the most significant recent developments in the field of NLP and information retrieval
Engage with the NLP and information retrieval communities (blogs, documentation, Python examples, conference talks, academic papers, etc.)
Collaborate with cross-functional teams of data scientists, engineers, and product managers
Promote knowledge sharing and collaboration in a distributed team

What You Will Bring:

8+ years of confirmed experience building and applying NLP to production use cases
8+ years of professional software development experience in Python
Experience in Generative AI, Retrieval Augmented Generation, and information retrieval
Experience with libraries and frameworks such as PyTorch, transformers, and Pandas
Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing
Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs
Self motivated, collaborative style, open communicator, experience in a distributed team
Good attention to detail and highly organized
Real passion for data, analysis and achieving excellence
Experience with Elasticsearch is useful
An academic background in the domain is also a plus

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:$128,300—$203,000 CAD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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What is The Role:

What You Will Be Doing:

Explore, select and benchmark open source and Elastic proprietary models
Implementing RAG and other LLM-based search experiences
Designing evaluation protocols for semantic search, tool selection, and generation in LLM-based search experiences
Keeping up-to-date with the most significant recent developments in the field of NLP and information retrieval
Engage with the NLP and information retrieval communities (blogs, documentation, Python examples, conference talks, academic papers, etc.)
Collaborate with cross-functional teams of data scientists, engineers, and product managers
Promote knowledge sharing and collaboration in a distributed team

What You Will Bring:

8+ years of confirmed experience building and applying NLP to production use cases
8+ years of professional software development experience in Python
Experience in Generative AI, Retrieval Augmented Generation, and information retrieval
Experience with libraries and frameworks such as PyTorch, transformers, and Pandas
Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing
Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs
Self motivated, collaborative style, open communicator, experience in a distributed team
Good attention to detail and highly organized
Real passion for data, analysis and achieving excellence
Experience with Elasticsearch is useful
An academic background in the domain is also a plus

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:$159,800—$252,800 USDThe typical starting salary range for this role in the select locations listed above is:$191,900—$303,500 USD

Additional Information - We Take Care of Our People

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Please see here for our Privacy Statement.

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Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.

As a Principal Data Scientist - Stochastic Modeling, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via.

\n\n\n\n\n

What You’ll Do:

Use Bayesian modeling and stochastic simulations to make inferences and predictions, for example about the behavior of drivers and riders in our deployments.
Own projects end-to-end, including data querying and cleaning, model training, model deployment, and, when necessary, building proof-of-concept web apps that leverage your models.
Hone your presentation and communication skills by giving regular reports on your progress and findings.

\n\n\n\n\n

Who You Are:

Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset.
Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function.
Have completed 2+ projects that utilized Bayesian inference, stochastic modeling, or both, in either an academic or industry environment.
Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics.
Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously.
Can think on your feet and are curious, coachable, and self-motivated.
Are an extraordinary communicator with demonstrated writing, editing and visualization skills

\n\n\n\n\n

What Catches Our Eye:

Prior experience with SQL is a plus.
Authorship of one or more high-impact publications is a plus.
Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus.

\n\n\n\n\n

Compensation and Benefits:

Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $125,000 - $165,000 per year
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

\n\n

We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive.

Our teams of world class engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more.

If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities.

Ready to join the ride?

Via is an equal opportunity employer.

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About the job

The State Street Investment Management - Global Head of Data, Analytics & AI Services (GHDAAIS) is seeking to hire a Senior Principal Data Scientist, Vice President at Hangzhou office. This role will play a key role in leading the solution delivery of AI technology services provided to the Global Advisors business at State Street. The role will be a key player in the DAAIS for AI services supporting the COO’s organizational delivery of the technology platforms in a federated model to Global Advisors, State Street, and our clients. The role will function as the AI specialist and solution lead for AI related services working closely with the State Street affiliates, Global Technology Services (GTS) and other third-party vendors used within the SSGA ecosystem globally. The role and the team will provide AI architectural solution to the DAAIS delivery of technology platforms and services according to the GTS architectural standards and operate under a federated operating model to deliver against a target end state AI ecosystem blueprint. In addition, the role needs to adopt GTS AI related technology, risk, security, and data governance standards.

This is a senior principal data scientist role for candidate who has very strong hands-on AI solution design and development experience, as well as strong team management skills and leadership. The candidate should have rich experience for AI application development. The candidate has 10+ years of experience in asset management. This is someone who also has demonstrable leadership in developing service-oriented model solution, has delivered enterprise platform and/or commercialized AI product. The candidate has excellent technical and problem-solving skills, someone with creativity and self-motivation to deliver on mission critical projects with tight timelines and competing priorities.

Responsibilities:

Lead a small agile team to deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and AI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity by 30%.
Develop, train, and manage multiple data scientists, ensure their continuous growth and development, and foster a high-performance team culture.
Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.
Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial problem, perform validation, and fix bugs.
Drive model rationalization, reusability, scalability, and implement modern MLOps.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement required changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
12+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing and computer vision algorithms.
12+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

Prior data scientist role in financial institution or model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
Charted Financial Analyst (CFA) or equivalent.

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About the job

Responsibilities:

Lead a small agile team to deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and AI best practices.
Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity by 30%.
Develop, train, and manage multiple data scientists, ensure their continuous growth and development, and foster a high-performance team culture.
Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.
Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial problem, perform validation, and fix bugs.
Drive model rationalization, reusability, scalability, and implement modern MLOps.
Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement required changes for go-live.
Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.

Skills and Qualifications:

Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
12+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing and computer vision algorithms.
12+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
Familiar with major financial instrument, reference data, market data, investment and risk management concept.
Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
Result driven, detail oriented, candid attitude.

Any of the following is highly desirable:

Prior data scientist role in financial institution or model validation experience.
Prior risk and investment management experience in asset management industry.
Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
Charted Financial Analyst (CFA) or equivalent.

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- The Principal Data Scientist will have responsibility for providing thought leadership and ownership of deliverables related to the designing, developing, and deploying of forward looking ML models meeting real business objectives and priorities.

- The ideal candidate will thrive in collaborative environments, capable of working in a dynamic data environment still in the early stages with significant growth on the roadmap. The team moves fast with solutioning happening in AWS, Redshift, and Tableau.

- The ideal candidate will prove capable of deep understanding of operational processes, data structures, and technical capabilities.

- The person in this role will collaborate closely with Operational leaders, Product Management, and the Federal EAP Data and Analytics team in order to provide solutions that can be merged into the technology stack and provide features to the overall product.

- Above all else, the candidate will act as a servant leader, supporting the development team and the organization with authenticity, integrity, and empathy.

Provides thought leadership in designing and implementing strategic frameworks and best practices to help grow overall data science literacy. Designs, documents, develops and delivers analyses using the latest innovations in computing tools, predictive analytics and machine learning. Uses a variety of computing and data mining tools and develops and maintains algorithms to predict patterns in data. Performs both ad hoc analyses that will vary in duration and complexity and participates in projects as part of the Data and Analytics team.

Build best practices and frameworks as part of broader strategy to build data science literacy. (20%)
Leads development and presentation of compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business. Provides thought leadership on product and project roadmaps and participates in planning exercises. Coordinates and advises on analytics efforts performed by in-house staff or outside consultants to ensure that all work is completed according to the project plan. (20%)
Utilizes machine learning and supervised and unsupervised learning algorithms. Participates in defining issues to be studied as well as the methodology to be used in addressing these issues. Develops algorithms to determine predictive patterns within the data. Participates in data governance and data definition discussions, ensuring consistency and validity across data universe. Works as part of broader scrum team to deliver capabilities on time and as part of larger project scope. (40%)
Performs exploratory data analyses and data mining of healthcare data. Performs ad hoc analyses that will vary in duration and complexity. (20%)

Other Job Requirements

Responsibilities

Master’s Degree and 10+ years of experience in Data Science and/or AI development.
5+ years’ experience mentoring other data scientists learning/moving into a data science role.
Experience working in Amazon Web Services (AWS).
Must be proficient in using SQL, Python, and Excel.
Proficient with basic querying capabilities using ANSI SQL for relational database read only querying purposes.
Proficient in the use of the latest innovations in computing tools, predictive analytics.
Experience in statistical analysis, data research, data design and sampling methodologies. Experience working with normalized and denormalized data structures.
Demonstrated ability to identify issues and propose methodological solutions.
Demonstrated competency in developing efficient and effective solutions to complex business problems.
Demonstrated ability to conduct and interpret quantitative and qualitative analysis.
Must demonstrate effective communication skills - consulting, interpersonal, and presentation.
Ability to work under tight deadlines in a dynamic environment.
Strong analytic and problem-solving skills and ability to interpret results of query analyses.
Ability to develop and communicate analytic results to support business questions.
Must be capable of translating complex IT and computer concepts to unfamiliar users of the information at the executive level.
Must be able to balance multiple priorities while maintaining a high level of quality.
Synthesizes analyses well, highlighting implications of findings.

General Job Information

Title

Federal Analytics - Principal Data Scientist

Grade

Work Experience - Required

Data Science

Work Experience - Preferred

Education - Required

Bachelor's, Master's

Education - Preferred

PhD - Statistics

License and Certifications - Required

License and Certifications - Preferred

Salary Range

Salary Minimum:

$117,860

Salary Maximum:

$200,360

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.

This position may be eligible for short-term incentives as well as a comprehensive benefits package. Magellan offers a broad range of health, life, voluntary and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing.

Magellan Health, Inc. is proud to be an Equal Opportunity Employer and a Tobacco-free workplace. EOE/M/F/Vet/Disabled.
Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their position; and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.

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Position Summary...

What you'll do...

Principal/Sr Data Scientist Role – Walmart Retail Intelligence:

The Principal or Senior Data Scientist will lead AI and machine learning (ML) initiatives to enhance operational decision-making and workload optimization for Walmart US. Key responsibilities include designing and prototyping advanced ML/AI solutions, collaborating with cross-functional teams to scale and implement these models, and ensuring ongoing model monitoring and management. The role requires close partnership with various Walmart teams (such as data governance and retail analytics) and focuses on aligning AI solutions with strategic business goals, improving associate efficiency, and driving measurable business impact. The Principal Data Scientist is also responsible for improving the efficiency and effectiveness of data science processes, including model development, accuracy, reliability, and cost savings.

What you'll do:

· Apply broad knowledge of ML/AI, Operation Research, GenAI and agentic AI to identify growth areas, new and emerging opportunities. Conducts research by studying organization goals, strategies, practices, and user projects. Recommends strategies by evaluating organization outcomes; identifying problems; evaluating trends; anticipating requirements.

· Influence a team of Data Scientists focused on powering AI/ML solutions within the scope of associate work prioritization, workforce planning and retention strategies.

· Partner closely with Data Science Management, Business Leaders, and ML engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.

· Execute full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.

· Adhere to MLOps framework to create, build, and deploy data science algorithms continuously test and monitor drifts.

· Shares highly complex information related to areas of expertise. Interacts with senior management to keep abreast of objectives. Interacts with peers to interpret information and improve cross-functional processes and programs. Builds and enhances key internal and external contacts.

What you'll bring:

· Experience in the development of large-scale ML/AI solutions, Causal Inference and Ranking/Prioritization systems.

· 6 years+ of experience in Applied ML familiar with core supervised and unsupervised algorithms.

· Skilled in Programming language (Python) and Large-scale training using data structures and algorithms.

· 2 years+ experience with Causal Inference frameworks, Bayesian Networks and Operations Research methods (Newsvendor problem, Travelling Salesman problem, Shortest Path models, etc.)

· Experience with cloud environments including Azure, Google Cloud, etc.

· Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).

· Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎

For information about PTO, see https://one.walmart.com/notices.

‎

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

‎

For information about benefits and eligibility, see One.Walmart.

‎

The annual salary range for this position is $110,000.00-$220,000.00

‎

Additional compensation includes annual or quarterly performance bonuses.

‎

Additional compensation for certain positions may also include:

‎

- Stock

‎

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

702 Sw 8Th St, Bentonville, AR 72716, United States of America","hiringOrganization":{"@type":"Organization","name":"Walmart","sameAs":"https://careers.walmart.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"(USA) Main Home Office Building AR BENTONVILLE Home Office, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Principal Data Scientist - AI Engineering","datePosted":"2025-08-20","description":"

Company Description

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS

Job Description

Are you ready to make waves in the world of AI? We're on the hunt for a Principal Data Engineer to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing that next level of excellence.

You'll be at the forefront of infusing cutting-edge advanced analytics and AI into IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data engineer wizardry will power our solutions, crafting efficient data pipelines, expanding our data platform capabilities, and pushing the envelope of data-driven innovation across our product lineup.

Your sharp critical thinking and knack for real-world business dilemmas will be instrumental in orchestrating end-to-end solutions. From spotting opportunities on the horizon to delivering high-performance, scalable data solutions, you'll play a pivotal role in our success.

If you're a maestro of mapping business processes and deciphering complex data, if advanced analytics and AI are your jam, and if you take pride in building top-tier data pipelines for production environments, we want to hear from you.

How Will You Shape the Future?

This role is all about hands-on technical prowess, and we expect you to bring your A-game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

Spotting high-value data opportunity within our IFS offerings, translating raw data into powerful features and reusable data assets.
Serving as our data expert, guiding us towards the latest and greatest data technology and platform trends. You'll be the guru driving our data platform evolution and providing data project estimates.
Leading the Data Engineering team in crafting and integrating data projects from the ground up. From framing problems and experimenting with new data sources and tools to the grand finale of data pipeline implementation and deployment. You will ensure scalability and top-tier performance.
Locking arms with ML Engineers, Data Scientists, Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document data pipelines to power advanced AI solutions.
Becoming our data technology evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

To succeed in this role, you will need:

8+ years of data engineering experience, skilled in scalable solutions like Data Lakes/Lakehouse, Graph and Vector Databases (e.g., ADLS, Elasticsearch, MongoDB, Azure AI search, etc.).
Proficient in data pipelines across cloud/on-premises, using Azure and other technologies.
Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar.
Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources.
Expert in large-scale data processing with Spark or Dask.
Strong in Python, Scala, C# or Java, cloud SDKs and APIs.
AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow).
Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub.
Automate deployment of data pipelines and applications using Bash, PowerShell, or Azure CLI, Terraform, Helm Chats etc.
Experienced in leveraging Azure AI Search, MongoDB, Elasticsearch or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (Retrieval Augmented Generation) applications.
Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms.
Design, develop, and monitor streaming data applications using Kafka and related technologies.

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

","hiringOrganization":{"@type":"Organization","name":"IFS","sameAs":"https://www.ifs.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colombo, WP, Sri Lanka","addressCountry":"Sri Lanka","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Principal Data Scientist - Clinical Operations","datePosted":"2025-08-21","description":"

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

Summary:

We are seeking a visionary and technically skilled Principal Data Scientist to lead the design and development of advanced AI/ML solutions that transform clinical operations at Aetna. This role will drive innovation across care management, utilization review, and government programs by embedding intelligent automation and predictive analytics into core workflows. The Principal Data Scientist extracts knowledge and insights from data to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting.

Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL databases, ETL tools).

Key Responsibilities:

AI/ML Technical Design & Development

Coordinates advanced data science projects and develops deliverables, taking ownership of assigned tasks and ensuring their successful completion.
Drives data science strategies and methodologies for specific projects, applying domain knowledge and expertise to drive impactful outcomes.
Develops methods for conducting risk assessments for data science initiatives, identifying potential vulnerabilities and proposing mitigation strategies.
Conducts advanced analysis of the organization's data science needs, capabilities, and gaps to identify opportunities for improvement and provide recommendations for optimization.
Plans major risk assessments for data science initiatives, identifying potential vulnerabilities and proposing mitigation strategies.
Build and maintain AI/ML models for disease progression forecasting, care management optimization, and clinical appeals triage.
Review modeling proposals and engineering designs to enhance efficiency and accuracy in clinical workflows.
Develop advanced question-answering pipelines to support evidence-based decision-making by nurses and care advocates.
Implement multi-agent LLM workflows for clinical document interpretation, outreach strategy recommendations, and appeal resolution.
Customize LLMs to align with healthcare compliance (HIPAA, CMS), Aetna-specific terminology, and plan protocols.
Define KPIs and monitoring systems to ensure safety, fairness, and longevity of AI solutions across clinical domains.
Shape the AI roadmap for shared services such as appeals automation and digital care plans.
Develop and implement generative AI use cases through proof-of-concepts and internal training materials.

Cross-Functional Collaboration & Innovation

Advises senior management of multiple departments to contribute data-driven insights, expertise, and solutions to address healthcare challenges.
Partner with stakeholders in clinical operations, government programs, and innovation to co-design impactful AI solutions.
Applies advanced knowledge of data governance policies and procedures to ensure compliance, privacy, and ethical use of healthcare data.
Promote responsible AI principles and empower clinical leaders to become AI change agents.
Collaborate with care advocates, medical directors, engineers, and product managers to integrate AI into platforms like Clinical Gateway and HealthOS.
Resolve platform-level challenges in real-time eligibility checks, provider documentation review, and predictive triage.
Align AI designs with enterprise clinical strategy and IT architecture standards.
Masters industry trends and emerging technologies, continuously enhancing skills and knowledge to contribute effectively as an independent contributor in the field of data science.

Required Qualifications

10+ years of experience in applied machine learning, preferably in healthcare.
Proven track record of deploying AI/ML solutions in clinical or operational settings.
Expertise in LLMs, NLP, and multi-agent systems.
Strong understanding of healthcare data standards (Dx, Rx, CPT), compliance frameworks, and payer/provider workflows.
Excellent communication and stakeholder engagement skills.
Mastery of problem solving and decision-making skills
Mastery of collaboration and teamwork
Mastery of growth mindset (agility and developing yourself and others) skills
Mastery of execution and delivery (planning, delivering, and supporting) skills
Mastery of business intelligence

Preferred Qualifications

Certified Data Scientist preferred.

Education

Master’s or PhD in Computer Science, Data Science, Biomedical Informatics, or related field.

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/29/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

","hiringOrganization":{"@type":"Organization","name":"CVS Health","sameAs":"https://cvshealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Work At Home-Massachusetts, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Principal Data Scientist - Recommender Systems","datePosted":"2025-08-20","description":"

About the Role

You will lead the development and optimization of AI Systems that drive personalization for Gap’s digital business, working closely with cross-functional teams to deliver personalized and engaging experiences for our customers. At the principle data scientist level, this individual will have significant technical expertise and vision to drive the end-to-end development of complicated real time personalization AI Systems.

This role is located onsite in San Francisco, Pleasanton or Dallas.

What You'll Do

Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models focused on customer personalization; diagnose and optimize performance
Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources
Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols
Communicate meaningful, actionable insights from large data and metadata sources to stakeholders
Collaborate with others in key initiatives and their implementation
Responsible for planning, budget and end results; set policies and strategic direction for area/team

Who You Are

Direct experience with building real time Recommender systems for digital commerce businesses
Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments
Experience with ML and classical predictive techniques such as logistic regression, decision trees, non linear regressions, ANN/CNN, boosted trees, Content/Collaborative filtering, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods
Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building
Evaluate sometimes complex situations using multiple sources of information (internal and external sources)
Able to filter, prioritize, analyze, and validate potentially complex In-depth understanding of concepts and procedures within own subject area and understanding of procedures and concepts in other areas

","hiringOrganization":{"@type":"Organization","name":"Gap Inc.","sameAs":"https://www.gapinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"SF - 2 Folsom, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Principal Data Scientist - Trip Projection","datePosted":"2025-08-21","description":"

Company Description

We are a global, diverse team that is passionate about bringing world-class solutions alive and engaging with different end2end business branches to bring the complete consumer journey to our clients. Client satisfaction and highest quality standards in the markets across the world are our core drivers and focus areas.

#LI-Remote

Job Description

We are seeking a Principal Data Scientist to help shape and activate innovative processes that redefine how we measure consumer shopping behavior. As an individual contributor within the Consumer Data Science team, you will serve as the Single Point of Contact (SPOC) for our latest measurement innovation across Europe

In this role, you will collaborate closely with both in-market and global teams to ensure the successful rollout, stability, and continuous quality of our product. Your key responsibility will be to support developing and implementing methodological frameworks for market-specific initiatives - ensuring technical accuracy while driving scalable, reliable, and highly automated solutions, especially in the field of projection but also related fields.

Qualifications

You are a great fit for our team if you have knowledge of consumer behavior, panels in general, consumer metrics and analytics. Experience with data engineering, process optimization as well as any receipt capture methodologies will be of huge advantage. Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you. If you see yourself in the role, profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills.

In detail we are looking for:

University degree (Master or higher) in Statistics, Mathematics, Socioeconomics or other related fields

With at least 3 or more years of experience in FMCG / Retail / Consumer Research or any related industry.

Working knowledge of Python and optimally also R; esp. in the area of data extraction, data cleaning, root cause analysis and data visualization.

Databricks and PySpark knowledge

Experience with SQL, working with queries and large-scale databases

Preferably, experience with building PowerBi reports, as well as with building Shiny Apps or corresponding interfaces in Python

String data engineering and process optimization experience

Strong aptitude for data analysis with basic knowledge of statistics, including the ability to manipulate, analyze and interpret large data sources.

Basic knowledge of the European market including a location close to our Lisbon office

Knowledge of/ Interest in consumers and their behaviors and any receipt collection methodologies.

Excellent communication/writing and collaboration skills, strong analytical thinking, strong leadership skills

A positive Say-Do ratio, as well as motivation to engage with the wider team are a general Must.

Strong time management and coordination skills

Project management experience including the skill to keep the end2end overview

Ability to navigate through crisis and difficult interactions together with ability to solve problems.

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, 11, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Principal Data Scientist - Price Imputation","datePosted":"2025-08-21","description":"

Company Description

#LI-Remote

Job Description

In this role, you will collaborate closely with both in-market and global teams to ensure the successful rollout, stability, and continuous quality of our product. Your key responsibility will be to develop methodological frameworks for market-specific implementations - ensuring technical accuracy while driving scalable, reliable, and highly automated solutions, especially in the field of price estimation and imputation.

Qualifications

In detail we are looking for:

University degree (Master or higher) in Statistics, Mathematics, Socioeconomics or other related fields
With at least 3 or more years of experience in FMCG / Retail / Consumer Research or any related industry.
Working knowledge of Python and optimally also R; esp. in the area of data extraction, data cleaning, root cause analysis and data visualization.
Databricks and PySpark knowledge

Experience with SQL, working with queries and large-scale databases

Preferably, experience with building PowerBi reports, as well as with building Shiny Apps or corresponding interfaces in Python

String data engineering and process optimization experience

Strong aptitude for data analysis with basic knowledge of statistics, including the ability to manipulate, analyze and interpret large data sources.

Basic knowledge of the European market including a location close to our Lisbon office

Knowledge of/ Interest in consumers and their behaviors and any receipt collection methodologies.

Excellent communication/writing and collaboration skills, strong analytical thinking, strong leadership skills

A positive Say-Do ratio, as well as motivation to engage with the wider team are a general Must.

Strong time management and coordination skills

Project management experience including the skill to keep the end2end overview

Ability to navigate through crisis and difficult interactions together with ability to solve problems.

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

","hiringOrganization":{"@type":"Organization","name":"NielsenIQ","sameAs":"https://nielseniq.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lisbon, 11, Portugal","addressCountry":"Portugal","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Principal Data Scientist, Advanced ML & Optimization","datePosted":"2025-08-08","description":"

As a Principal Data Scientist - Advanced ML and Optimization, you'll utilize advanced quantitative & statistical techniques to drive business model and product innovation for Via.

\n\n\n\n\n

What You’ll Do:

Use optimization theory and/or reinforcement learning and/or graph-based methods to improve transportation networks.
Own projects end-to-end, including data querying and cleaning, model/algorithm development, model/algorithm deployment, and, when necessary, building proof-of-concept web apps that leverage your models/algorithms.
Hone your presentation and communication skills by giving regular reports on your progress and findings.

\n\n\n\n\n

Who You Are:

Have a Master’s or PhD degree from a top-tier university in neuroscience, physics, biology, math, economics, computer science, operations research, or other highly quantitative field, and a record of exceptional academic achievement.
Have worked in a full-stack setting (from data to proof-of-concept application), or are eager to gain this skillset.
Are hungry for knowledge. You enjoy reading and understanding recent scientific publications, and often build toy implementations of novel techniques to see how they function.
Have completed 2+ projects that utilized optimization, reinforcement learning, and/or graph-based methods in either an academic or industry environment.
Have written at least 10,000 lines of high-quality functional or object-oriented code in Python or other language suitable for data analytics.
Are a natural relationship builder that values camaraderie, comes with a sense of humor, and doesn't take themselves too seriously.
Can think on your feet and are curious, coachable, and self-motivated.
Are an extraordinary communicator with demonstrated writing, editing and visualization skills

\n\n\n\n\n

What Catches Our Eye:

Prior experience with SQL is a plus.
Prior experience with graph-neural networks is a plus.
Authorship of one or more high-impact publications is a plus.
Prior role at a startup, or successful completion of a Postdoc, or experience working in another fast-paced environment is a plus.

Compensation and Benefits:

Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable.
Salary Range: $125,000-$165,000
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

Ready to join the ride?

Via is an equal opportunity employer.

\n\n\n\n\n\n

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Responsibilities

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Responsibilities:

What We're Looking for (Minimum Qualifications):

What Will Make You Stand Out (Preferred Qualifications):

#LI-BH1#LI-Remote

Responsibilities:

What We're Looking for (Minimum Qualifications):

What Will Make You Stand Out (Preferred Qualifications):

#LI-BH1#LI-Remote

Please submit your application as soon as possible, as we reserve the right to close this advertisement at any time.

Company Description

Job Description

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Additional Information

Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

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