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Minimum Qualifications:

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
Experience with statistical data analysis, statistical modelling and experimental design.

Preferred Qualifications:

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
4 years of experience as a data scientist, and experience applying advanced analytics to planning and infrastructure problems.
Experience with Large Scale Computing and Predictive Modeling in a business context.
Experience with Mathematical or Combinatorial Optimization.
Experience designing and building machine learning models.
Excellent problem-solving and project management skills.

About The Job

\nYou will co-lead the transition of the resource management of hyperscale containerized platforms from ad-hoc heuristics to optimization, reinforcement learning and beyond. Working with product designers and tech leads, you will provide quantitative perspective and expertise in ML methods and statistical tools both to optimize the products and to evaluate their impact. You will have an opportunity to impact the key infrastructure layer for large-scale AI deployments spanning tens of thousands of machines and products, including VertexAI and external customers.

Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Design and evaluate models to mathematically express and solve problems with limited precedent. Use statistical approaches to quantify uncertainty in data and in results.
Use mathematical optimization/operational research methods to improve products' efficiency and customer experience.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Genomics/Epigenetics, Science","datePosted":"2025-09-20","description":"

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior
Developing state-of-the-art imaging systems to observe living cells in action
Instrumenting tissues to better understand inflammation, a key driver of many diseases
Engineering and harnessing the immune system for early detection, prevention, and treatment of disease

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The Opportunity

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
10s of thousands of donor-matched DNA & RNA samples
PB-scale static and dynamic imaging datasets
TB-scale mass spectrometry datasets
Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Data Scientist, you'll lead the creation of groundbreaking omics datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You'Ll Do

Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.
Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You'Ll Bring

5+ years of experience with large scale genomic and/or epigenomic datasets.
Demonstrated delivery of large biological data products.
Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
Strong fundamentals in statistical reasoning and machine learning.
Experience with biological data analysis and QC best practices
Excellent written and verbal communication skills.
Enthusiasm to ramp up on technologies and learn new domains.
Experience working in a multidisciplinary environment (engineering, product, AI Research).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $190,000 - $261,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits For The Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#Li-Hybrid

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Why Socure?

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

About The Role

Join Socure’s Data Science Client Analysis team as a Sr. Data Scientist—this is a remote role based anywhere in the U.S..

In this unique role as Sr. Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This role is ideal for a Data Scientist who thrives on communicating data stories to both technical and non-technical audiences. It’s a great fit for someone who enjoys working with data and directly influencing business decisions. Data Scientists on the Client Analysis team are rewarded for their contributions to driving new business with a generous incentive bonus, in addition to a competitive base salary.

What You'Ll Do

Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Program Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

What You Bring

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods You know how to write clean, performant code in Python and Pyspark, and have 5+ years experience working with massive real-life datasets You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP
You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations) You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable You have experience in identity verification and fraud prevention (strongly preferred)

Technologies We Use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

Python ecosystem (Pyspark, Pandas, Numpy, H2O, SHAP, Seaborn, Jupyter, etc)
Databricks
Airflow
Redshift, Snowflake, S3
Apache Spark, Apache Arrow
Amazon Emr
Looker, Tableau

Please note that Socure is not able to provide sponsorship for this opening, now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

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About Customer.Io

Over 7,500 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

Hi there! We’re looking for a Senior Data Scientist to join our central Data team — the Center of Excellence for Data at Customer.io. Our team partners across the business to deliver insights, predictive models, and data-powered strategies that accelerate growth. In this role, you’ll collaborate with Product, Marketing, Sales, and Customer Experience to design and deploy models that forecast outcomes, identify opportunities, and prescribe the best paths forward. You’ll be a trusted advisor who helps shift our company from reporting on the past to predicting and shaping the future.

What We Value

Curiosity and rigor — you dive deep into data, asking the right questions and testing assumptions.
Collaboration and ownership — you partner across functions, take initiative, and see work through to real-world impact.
Applied machine learning — you use statistical and ML models to solve real business problems, not just build for the sake of building.
AI-first mindset — you’re energized by the opportunity to apply predictive and prescriptive analytics in ways that scale across the business and product.
Impact-oriented storytelling — you can distill complex modeling results into clear, actionable insights for executives and operators alike.

What You’Ll Do

Design and deploy predictive models that improve customer acquisition, conversion, and retention (e.g., lead scoring, customer health, product adoption forecasts).
Partner with Product, Revenue, and CX teams to identify opportunities where modeling and experimentation can drive measurable business outcomes.
Build prototypes and production-ready models in Python, leveraging our modern data stack (Snowflake, dbt, etc.) for scalable development and deployment.
Collaborate with data engineering to ensure clean, reliable, and extensible data pipelines for advanced analytics and ML use cases.
Translate modeling outputs into clear recommendations and decision frameworks for senior leaders.
Contribute to the design of analytics capabilities that can extend into our products, creating differentiated customer-facing insights.

What We'Re Looking For

5–7 years of experience in data science, applied machine learning, or advanced analytics, with a proven track record of driving impact.
Strong SQL and Python skills — able to wrangle large datasets efficiently and build end-to-end analyses and models.
Experience with forecasting, classification, or scoring models applied in business contexts.
Familiarity with modern data workflows and tools (dbt, Snowflake, Hex, Streamlit).
Strong communication skills, with the ability to explain complex models and tradeoffs to non-technical stakeholders.
Bonus: experience embedding ML insights into applications or customer-facing products.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $173,000 (or equivalent in local currency) depending on experience and subject to market rate adjustment.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

30-minute call with Maria (Recruiter)
45-minute call with Hiring Manager
30-minute calls with 4 potential team members
Take-Home Assignment + 45-minute review call

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join Us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

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Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.

Minimum Qualifications

PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research.
3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions).
Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.
Proficiency in causal inference methods.
Proven ability to translate offline analysis into online impact.
Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.
Strong experience with SQL (e.g. postgres, snowflake, etc).

Preferred Qualifications:

2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc).
Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).
Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow.
Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.

Responsibilities

Work cross-functionally to translate business problems into testable analyses and experiments.
Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.
Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization.
Develop and deploy machine learning models to make recommendations and influence the product roadmap.
Define and build new ML features using text and multimodal embeddings and GenAI.
Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

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About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google’s Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work!

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco:

\nProduct Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML) and customer needs, and provide the data driven insight and scientific solutions.\n

What You’Ll Do:

\nConducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.\n
\nBuilding the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers\n
\nEvaluating ads system health: understanding changes and drivers of our complex systems, and diagnosing issues through a set of input/output metrics of each component.\n

Basic Qualifications:

\nDistinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time.\n
\nProven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations.\n
\nExcellent verbal and written communication skills, with ability to present information and analysis results effectively.\n
\nStatistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.\n
\nProgramming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).\n
\nAbility to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.\n
\n5+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.\n
\nBachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).\n

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:$172,000—$220,000 USD

Moloco Thrive: Benefits And Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

About The Role

As a Senior Enterprise Account Executive, you'll drive new business revenue for ServiceNow. We're looking for a seasoned sales professional to take on a challenging and high-impact territory with significant growth potential. This is more than just a sales role; it's about being a strategic partner to some of the world's largest pharmaceutical companies, helping them transform their business and IT operations.

This is a hunter role. Your mission is to secure new sales from an AI SaaS / Hybrid Platform model within a defined territory of major pharmaceutical accounts.

What You'Ll Do

Lead the Sales Cycle: You'll oversee all aspects of the sales process, from initial account planning and territory strategy to developing relationships with C-suite executives (CFO, CIO, COO, CDO).
Build Strategic Partnerships: Act as a trusted advisor to your customers, deeply understanding their business challenges and showing them how ServiceNow can solve their most pressing issues and support their IT roadmap.
Orchestrate a Virtual Team: Lead and coordinate a broad team of experts—including Solutions Consultants, Specialists, Partners, and Marketing—to deliver a unified, strategic approach to each account.
Navigate Complex Organizations: You will excel at working with procurement and other internal customer teams. You will have the confidence and experience to negotiate and maintain appropriate business terms, even when facing internal political challenges.
Drive Revenue Growth: You will own a territory with install base of product and large TAM as you expand your footprint within your accounts.

Qualifications

What We're Looking For

AI: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Sales Experience: You have a strong track record of success in enterprise software sales, with a deep understanding of SaaS models. While specific healthcare or life sciences experience is a plus, your ability to sell into large, complex enterprise customers is most critical.
Skills: You are a skilled negotiator and a strategic thinker. You can manage large, multi-million dollar deals and navigate complex political landscapes within a customer's organization.
Location: This position is for an East Coast-based candidate, with a strong preference for someone in the New Jersey or New York metro areas to best serve clients.
Attributes: You have a strong personality and are able to influence. You are resilient, resourceful, and relentless in your pursuit of excellence.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

For positions in this location, we offer a base pay of $136,600 - $185,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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At Talkdesk, we are courageous innovators focused on redefining the customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners all over the world trust Talkdesk to deliver a better way to great experiences.

We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #16 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth.

At Talkdesk, we embrace FAST, our fundamental operating principles that define who we are as an organization. These principles drive us to make the impossible possible. FAST: Focus + Accountability + Speed = Talkdesker.

Focus: Focus time, energy and attention on what is most impactful for the business and thoughtful about how and when to partner with others.
Accountability: Hold self and others accountable to meet commitments and drive results. Accept responsibility for successes and failures.
Speed: Execute with agility and urgency. Act promptly, decisively, and without delay. Make good and timely decisions that keep the organization moving forward.
Talkdesker: YOU!

Responsibilities:

Responsible for new business development within large enterprise accounts and closing of opportunities within Healthcare & Life Science organizations
Foster and expand the company’s relationship with business units, divisions and the overall enterprise customers
Create and cultivate a close relationship with strategic alliances
Understand the customers’ business strategy and direction and manage a long term, sustainable business portfolio
Manage the end to end sales process through engagement of appropriate resources such as Sales Engineers, Professional Services, Executives, Partners etc.
Bringing innovative ideas that showcase case Talkdesk’s competitive advantage and disruptive mindset
Meet and exceed quarterly and annual revenue/quota through the management and execution of the Talkdesk sales process
Develop a comprehensive sales strategy and a sales plan that ensures consistent achievement of objectives over the short- and long-term for your coverage model
Build lasting, meaningful relationships with other members of management, team, and prospect/customer community
Build and align with the Talkdesk sales Go-to-Market plan to develop and own accountability for region’s market segmentation and targeted accounts
Develop essential internal relationships to provide the support necessary to manage accounts and close deals
Communicate accurate and realistic forecast information to the management team per our process and policy
Communicate market reaction and needs back to headquarters in a productive manner
Take an active role in solving problems, which involve other functional areas, instead of “dumping problems at the factory door”
Take the lead in prioritizing the needs of customers so that engineering and other functional areas can focus on the right tasks and issues

Requirements:

Travel required: 50%+
Previous experience in selling Enterprise software solutions into healthcare related accounts
8+ years of outside/direct sales experience carrying / exceeding quota, preferably SaaS
Experience positioning through strategic value based selling
Experienced in selling SaaS-based solutions, managing complex sales practices and solution-based selling to CXO, senior management and director-level individuals
Analytical, with strong business acumen
Flexible personality, able to adapt to surroundings
Analytical and business deal-making capability, ability to ferret out opportunities, create positive relationships, find the hidden issues during due diligence, and bring the transaction to closure successfully
Demonstrated track record in the planning, development, and implementation of new business activity involving leading-edge technology
Proven ability to grow revenues to a substantial level and scale bookings growth and net-new customers
Excellent communication and presentation skills
Extensive negotiation and contract development experience
Comfortable operating in a fast-paced, dynamic startup environment
CCaaS knowledge is a plus
BA/BS degree

Work Environment And Physical Requirements:

Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)

The Talkdesk Story Hinges On Empathy And Acceptance. It Is The Shared Goal Among All Talkdeskers To Empower A New Kind Of Customer Hero Through Our Innovative Software Solution, And We Firmly Believe That The Best Path To Success For Our Mission Is Inclusivity, Diversity, And Genuine Acceptance. To That End, We Will Hire, Promote, Work Along, Cheer For, Bond With, And Warmly Welcome Into The Talkdesk Family All Persons Without Regard To Ethnic And Racial Identity, Indigenous Heritage, National Origin, Religion, Gender, Gender Identity, Gender Expression, Sexual Orientation, Age, Disability, Marital Status, Veteran Status, Genetic Information, Or Any Other Legally Protected Status.

","hiringOrganization":{"@type":"Organization","name":"Talkdesk","sameAs":"https://www.talkdesk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nashville","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

<Gh-Intro><Text>

We’re looking for a Senior Data Scientist to join Bolt’s Rides Matching domain. You’ll use data to uncover opportunities, frame the right questions, and shape how we verify match drivers and dispatch offers to them. Your work will directly influence marketplace balance, growth, and user experience.

</Text></Gh-Intro>

<Gh-About-Us><Title>About Us</Title>

<Text>

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

</Text>

</Gh-About-Us><Gh-Role-Detail>

<Title>About The Role</Title>

<Text>

Matching is the core of Bolt’s ride-hailing and powers efficient, data-driven, high-scale matching in hundreds of cities across the globe. You’ll lead discovery analyses across search, dispatching, and matching, translate patterns into hypotheses, and partner with product and engineering to design experiments and data-driven changes. Expect to prototype lightweight models where they’re the simplest, highest-leverage tool, keeping the emphasis on problem-finding, evidence, and impact.

</Text></Gh-Role-Detail>

<Gh-Responsibilities>

<title>Main tasks and responsibilities:</title>

<Bulletpoints>

\n\n\n

<point>Probe matching funnels to find friction and opportunity, size the impact, and turn insights into prioritized, testable ideas. </point>
<point>Design and analyze A/B tests, and deliver crisp readouts with recommended decisions.</point>
<point>Prototype lightweight models and decision rules with careful offline/online evaluation and simple monitoring; collaborate with engineers for productionization.</point>
<point>Discover and evaluate new marketplace efficiency features (what drivers to match with, when to match, how long, batch them or not) that improve marketplace efficiency and matching speed; articulate trade-offs and expected impact clearly to stakeholders.</point>

\n\n\n

</Bulletpoints></Gh-Responsibilities>

\n\n

<Gh-Requirements>

<title>About you:</title>

<Bulletpoints>

<point>2-5 years in a data-science or quantitative product role, with strong statistical thinking and curiosity for problem discovery.</point>
<point>Proficient in SQL and Python (Pandas/NumPy; scikit-learn for light modeling); experienced in working with large datasets and communicating trade-offs clearly.</point>
<point>Hands-on with experimentation and with causal/observational reasoning when randomized tests aren’t feasible.</point>
<point>Comfortable turning ambiguous spaces into measurable metrics, hypotheses, and shipped improvements; you default to the simplest approach that moves the needle.</point>

</Bulletpoints><Text>

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
</text>
</gh-requirements>

#Li-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Bolt","sameAs":"https://bolt.eu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tallinn, Estonia","addressCountry":"Estonia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Life Sciences","datePosted":"2025-09-19","description":"

🚀 About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

Join us in shaping the future of science! We are seeking a data scientist with a strong background in life sciences to join our data science team, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. This role spans web services and data engineering, with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and lab-focused tool building, we want to hear from you!

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

","hiringOrganization":{"@type":"Organization","name":"Lila Sciences","sameAs":"https://www.lila.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Life Sciences","datePosted":"2025-09-19","description":"

🚀 About Lila

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

🛠️ What You'll Be Building

\nWork with scientists to develop tools for lab data. Develop reusable code and libraries to improve efficiency and scalability.\n
\nAlign development with strategic goals, ensuring software supports broader organizational needs.\n
\nParticipate in the entire software development life cycle, focusing on designing, implementing, and maintaining software services.\n
\nManage git repositories, enforce best practices, and foster a collaborative development culture.\n
\nWork directly with scientists and ML stakeholders to identify gaps and unmet needs, and develop tailored software solutions for data analysis, LIMS functionality, and data automation.\n
\nSupport infrastructure as code and design efficient deployment strategies.\n
\nWrite clear, concise documentation for both engineers and end users.\n

🧰 What You’ll Need to Succeed

\nMinimum of 5 years of experience writing tools and workflows in a life sciences setting.\n
\nHigh-level proficiency in Python.\n
\nStrong understanding of git best practices.\n
\nAcute listening skills and patience to deeply understand user challenges.\n
\nExperience implementing scalable software solutions.\n
\nExcellent problem-solving skills and team-first mentality.\n
\nStrong communication skills to effectively collaborate with team members and stakeholders.\n
\nEnergetic self-starter and independent thinker, with strong attention to detail.\n
\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\n

✨ Bonus Points For

\nExperience with workflow orchestration software (e.g., Temporal, Dagster, Prefect).\n
\nHands-on experience with ORMs and web services (SQLModel, FastAPI, Django).\n
\nFamiliarity with data science and ML libraries (pandas, numpy, scipy).\n
\nKnowledge of modern developer tools (pydantic, pyright, uv, poetry).\n
\nUnderstanding of Kubernetes, ArgoCD, and GitHub Actions. Familiarity with AWS fundamentals (e.g., RDS, EC2, S3, EKS).\n

🌈 We’re All In

🤝 A Note to Agencies

","hiringOrganization":{"@type":"Organization","name":"Flagship Pioneering, Inc.","sameAs":"https://www.flagshippioneering.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cambridge, MA USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Data Scientist, RBQM Analytics","datePosted":"2025-09-19","description":"

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Purpose

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development processes. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics. Identifies use cases that are appropriate for the application of ML and AI.

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
Enables data-driven insights to support of clinical development, including precision medicine
Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
Responsible for coaching and mentoring junior team members
Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks. Applies machine learning techniques to validate assumptions and predict future behavior

Qualifications

This is a hybrid opportunity 3x/week in Lake County, IL

Qualifications

Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
Proven expertise with Machine Learning and other advanced analytics techniques
Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
Demonstrated problem-solving and analytical skills
Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Chicago, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Company Description

The Red Gate Group, founded in 2006, is a Service-Disabled Veteran-Owned Company based in Chantilly, VA. As an SDVOSB, the Red Gate Group has established a reputation for delivering quality multi-tiered services in intelligence analysis, strategic planning, program management, policy development, operational design, and technology integration. RGG delivers high-quality, customer-centric solutions around the world—from the foxhole to the highest levels of Government. Our motto, \"Making a Difference for Country and Client,\" reflects our deep commitment to national security and service excellence. As an employer of choice, we offer comprehensive benefits including flexible time off, 11 paid holidays, immediate 401(k) eligibility with a generous match, and full medical, dental, and vision coverage through Anthem. Our employees enjoy 100% company-paid life insurance and disability benefits, along with professional development assistance for degrees and certifications. We foster a culture of growth and work-life balance, backed by our commitment to supporting both our clients' missions and our employees' success. Join our team and be part of an organization that values both service excellence and employee wellbeing.

Job Description

The Red Gate Group is seeking a Senior Data Scientist to support the Defense Threat Reduction Agency (DTRA) in Reston, VA. In this role, you’ll combine technical expertise with leadership skills to solve some of the nation’s most critical challenges. You’ll work directly with clients to uncover their toughest questions, explore complex datasets, and design advanced algorithms that deliver clear, actionable insights.

As a Senior Data Scientist, you’ll not only build and deploy cutting-edge models—you’ll also mentor teammates, shape best practices, and lead efforts to translate data into mission impact. This is an opportunity to turn complex, high-volume data streams into meaningful intelligence that drives real-world decisions.

Key Responsibilities

Lead the design and implementation of machine learning models for classification, extraction, summarization, and search.
Work with clients to frame problems, identify data sources, and develop analytic strategies.
Build end-to-end ML workflows, from data preparation and exploration to deployment and evaluation.
Manage large-scale, production-level systems processing millions of streaming documents per week.
Apply expertise in data cleaning, mining, analysis, and visualization to create clear, actionable results.
Collaborate with cross-functional teams, including MLOps and infrastructure engineers, to ensure robust deployment, monitoring, and retraining of models.
Mentor junior team members and guide best practices in data science methodology and implementation.
Stay at the forefront of emerging tools, frameworks, and approaches in AI/ML, NLP, and data science.

Qualifications

3+ years of experience in applied data science or ML roles, including Python, NLP, and LLM implementation.
3+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
Experience with production-level systems, data lake environments, and streaming data (e.g., Kafka).
Proven ability to design, implement, and iterate on ML models in real-world, high-volume environments.
Strong grasp of infrastructure and systems concepts, particularly data pipelines and data lakes.
Experience implementing end-to-end ML workflows from preparation to deployment.
Active Ts/Sci Clearance.
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.

Desired Qualifications

Experience collaborating with MLOps teams on deployment, monitoring, and retraining pipelines.
Familiarity with document indexing, search platforms, GPU workloads, and distributed storage (e.g., Cloudera).
Experience developing algorithms with R, Python, SQL, or NoSQL.
Knowledge of distributed data and computing tools such as Hadoop, Hive, Spark, MapReduce, or EMR.
Hands-on experience with visualization tools like Plotly, Seaborn, or ggplot2.
Security+ Certification.

Additional Information

The Red Gate Group, Ltd. is an Equal Opportunity/Affirmative Action Employer. The Red Gate Group, Ltd. considers applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Know Your Rights

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Feq426r109

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward.

We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The Impact You Will Have:

Form successful relationships with clients throughout your assigned territory to provide technical and business value, working with an Account Executive and a Senior Solutions Architect.
Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
Become the customer’s trusted advisor on aspects of architecture and design.
Support your customers by authoring reference architectures, how-tos, and demo applications.
Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What We Look For:

Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
Motivation to move into a presales career
Coding in a core programming language such as Python, Java, or Scala.
Knowledgeable in a core Data and AI domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
Experience diving deeper into solution architecture and design.
Professional working proficiency in German

#Li-Hybrid

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

","hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://www.databricks.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Product, Googler Technology and Engineering","datePosted":"2025-09-19","description":"

Minimum Qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.

Preferred Qualifications:

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

About The Job

We partner with teams across the company to apply Google's best data science techniques to Google's biggest enterprise opportunities. We collaborate with Research, Core Enterprise Machine Learning (ML), and ML Infrastructure teams to build solutions for our enterprise.

The Google Technology Enterprise (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, Information Technology (IT) support, and internal tooling with Artificial Intelligence (AI) and Advanced Analytics. We enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. We also build cross-functional services for use across Corporate Engineering (Corp Eng) and educate product teams on advanced analytics and machine learning.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Provide problem-solving thought leadership through proactive and strategic contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization.
Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Work with Product Managers, User Experience, and Engineers to contribute to metric-backed annual and quarterly OKR settings.
Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
Design and develop cutting-edge machine learning models to solve complex problems within the Enterprise Support space that solve actual business problems for Google.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, USA; Austin, TX, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Job Description

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes.

Experience : 5 to 7 Years

Work Location : Hyderabad

Key Responsibilities:

Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
Collaborate with cross-functional teams to integrate data-driven insights into business processes.
Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
Strong programming skills in Python (preferred) or R.
Experience with cloud platforms (AWS preferred), including SageMaker.
Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
Excellent problem-solving and analytical thinking skills.
Ability to work in a fast-paced environment and manage multiple projects.
Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

Experience with A/B testing, econometrics, or other statistical experimentation methods.
Familiarity with other cloud computing platforms (e.g., Azure, GCP).
Experience working in cross-functional teams and client-facing roles.

Additional Information

Opportunity to work with cutting-edge technology in a dynamic environment.
Exposure to a diverse range of industries and projects.
Collaborative and inclusive work culture with opportunities for growth and professional development.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

Key Responsibilities:

Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
Collaborate with cross-functional teams to integrate data-driven insights into business processes.
Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
Strong programming skills in Python (preferred) or R.
Experience with cloud platforms (AWS preferred), including SageMaker.
Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
Excellent problem-solving and analytical thinking skills.
Ability to work in a fast-paced environment and manage multiple projects.
Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

Experience with A/B testing, econometrics, or other statistical experimentation methods.
Familiarity with other cloud computing platforms (e.g., Azure, GCP).
Experience working in cross-functional teams and client-facing roles.

Additional Information

Opportunity to work with cutting-edge technology in a dynamic environment.
Exposure to a diverse range of industries and projects.
Collaborative and inclusive work culture with opportunities for growth and professional development.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

Key Responsibilities:

Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
Collaborate with cross-functional teams to integrate data-driven insights into business processes.
Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
Strong programming skills in Python (preferred) or R.
Experience with cloud platforms (AWS preferred), including SageMaker.
Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
Excellent problem-solving and analytical thinking skills.
Ability to work in a fast-paced environment and manage multiple projects.
Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

Experience with A/B testing, econometrics, or other statistical experimentation methods.
Familiarity with other cloud computing platforms (e.g., Azure, GCP).
Experience working in cross-functional teams and client-facing roles.

Additional Information

Opportunity to work with cutting-edge technology in a dynamic environment.
Exposure to a diverse range of industries and projects.
Collaborative and inclusive work culture with opportunities for growth and professional development.

Company Description

Job Description

Experience : 5 to 7 Years

Work Location : Hyderabad

Key Responsibilities:

Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
Collaborate with cross-functional teams to integrate data-driven insights into business processes.
Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.

Qualifications

Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
Expertise in Bayesian modeling and machine learning techniques.
Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
Strong programming skills in Python (preferred) or R.
Experience with cloud platforms (AWS preferred), including SageMaker.
Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
Excellent problem-solving and analytical thinking skills.
Ability to work in a fast-paced environment and manage multiple projects.
Strong communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:

Experience with A/B testing, econometrics, or other statistical experimentation methods.
Familiarity with other cloud computing platforms (e.g., Azure, GCP).
Experience working in cross-functional teams and client-facing roles.

Additional Information

Opportunity to work with cutting-edge technology in a dynamic environment.
Exposure to a diverse range of industries and projects.
Collaborative and inclusive work culture with opportunities for growth and professional development.

","hiringOrganization":{"@type":"Organization","name":"Blend360","sameAs":"https://blend360.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, TS, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"About the roleAs a Senior Data Scientist, you will be a key part of our Product Analytics & Conversion Rate Optimization team. You will use your expertise in statistics, experimental design, and AI/ML to optimize our websites, photo editor applications, and marketing efforts. This role is a unique opportunity to help shape our data science practice as we continue to grow and build our capabilities.
\n

How You Embrace Curiosity Daily

Research, design, and build sophisticated AI/ML models to solve complex business problems.
Develop and implement advanced analytics methodologies to accurately measure the effects of our initiatives.
Work with stakeholders to understand business goals and take ownership of projects from start to finish.
Build models using best practices for MLOps and Data Science.
Collaborate with product owners, analysts, and ML engineers to align on project goals and technical solutions.
Identify and propose new data science solutions and analytics methodologies.

How You Make Your Mark

Deliver tangible business value by connecting your analytical findings to commercial outcomes.
Take ownership of the entire machine learning lifecycle from data cleaning to model deployment and monitoring.
Influence the future of our data science practice by identifying opportunities to improve our MLOps platform and data infrastructure.
Ensure the smooth operationalization of your work by preparing clear requirements for data and ML engineering teams.

What You Bring To The Team

3-5 years of experience in a data science role within a commercial environment.
Hands-on experience with the full machine learning lifecycle.
Proven expertise in experimental design, causal inference, and advanced statistical analysis.
Experience with collaborative code development, including version control and code review.
Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, Snowflake, and MLFlow.
Strong business intuition and communication skills.

What Sets You Apart

A Master’s or Ph.D. in a quantitative field like Computer Science, Statistics, or Mathematics.
Experience with web analytics data such as Adobe Analytics or Google Analytics.

Equal Opportunities & Right to Work
Storio Group is an equal opportunity employer, celebrating diversity and fostering an inclusive environment. We're committed to making reasonable adjustments for disabilities during interviews—just contact our HR team. Applicants must also have the legal right to work in the position's country without requiring sponsorship.","hiringOrganization":{"@type":"Organization","name":"Storio Group","sameAs":"https://www.storiogroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, NL","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Cost Engineer (Life Sciences/Pharma/Data Centres)","datePosted":"2025-09-19","description":"

Company Description

At Turner & Townsend we’re passionate about making the difference. That means delivering better outcomes for our clients, helping our people to realize their potential, and doing our part to create a prosperous society.

Every day we help our major global clients deliver ambitious and highly technical projects, in over 110 offices worldwide.

Job Description

Turner & Townsend are leaders in professional services to the Data Centre’s, Life Sciences, Pharma, R&D facilities, Industrial, Manufacturing, Distribution & Logistics sectors globally.

Job Objectives
\nAs an experienced Cost Engineering Professional in life sciences or data centres you will establish the required processes, templates and tools, and agree the baseline for cost and schedule, whilst monitoring performance against it and incorporating the impacts of risk, opportunities and change in a controlled manner. In order to do this you will:-

Identify trends and root causes of deviations against the baseline using lead and lag indicators, recommend remedial actions in order to drive best value for the client.
Lead the evaluation of the project‘s time, cost, and quality targets, applying governance controls as necessary to enable the successful delivery of the project.
Cooperate with a remote team of cost managers responsible for reaching an agreed, market tested cost baseline and ensuring the client is receiving value for money.
Guide and influence the general contractor, ensuring they are progressing in line with the schedule and within agreed cash flow parameters.
Act as the key point of contact to the client overcoming delivery and commercial issues whilst preparing formal and ad hoc reports focussing on time, cost and quality targets.
Control costs with your knowledge of conceptual estimating, funding stage gates, basic contingency principals, procurement principals.
Create and/or work within a cost report, summarizing financials in a executive level dashboard.
Understand change management principals, lead agreed change management process and work flow, providing a platform for adding/tracking/monitoring/approving change.
Coordinate and lead planning sessions and workshops with clients and vendors to compile the master project/programme schedule, agreeing baselines and a critical path.
Understand procurement principals, collate lead times from vendors and client into the master schedule communicate the prioritisation of ordering materials and equipment to meet scheduled install dates.
Work closely with the client to define vendor schedule requirements.
Actively participate in project team risk evaluations, incorporating the defined risks into monte carlo to output quantitative impacts to the overall project cost and schedule.
Work closely with the project team to stay informed on status of project changes, incorporating and communicating these to the project team to allow for approvals in the change management process.
Hold vendors accountable for required schedule updates and reporting to maintain timely and accurate updates of the master schedule ensuring that the schedules adhere to the defined process and quality expectations.

Qualifications

Skills Required

Proven experience in project controls coordination in all phases of the project lifecycle including program, risk and reporting with, specialist life sciences or data centre sector experience.
Demonstrated experience in the ability to determine corrective actions or recommendations based on facts and figures and critically evaluating information and data from various sources.
Advanced skills in MS Office and Primavera P6
Able to demonstrate a commitment to providing excellent service.
Reliable with the ability to work autonomously and as part of a team.
Strong time management skills, quick thinking and ability to meet project deadlines as necessary.
Highly motivated and driven with a passion for delivering to your clients and have the ability to work independently.

Additional Information

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance.

Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community.

Please find out more about us at www.turnerandtownsend.com/

#Li-Mm1

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time.

Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

Company Description

Who We Are

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

The Opportunity

As a Senior Data Scientist at Cint, you will play a pivotal role in optimizing the Cint Exchange. Collaborating closely with product and engineering teams, you will deliver data-driven solutions to enhance the performance of existing products, inform the development of new offerings, and deepen our understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of sophisticated statistical and machine learning-based methodologies.

The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint’s capabilities with market needs, directly influencing strategic decisions for the Exchange.

What you will do

Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments for the Cint Exchange.
Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply/demand balance, and their underlying mechanics within the Cint Exchange, providing deep analytical insights.
Independently and confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision.
Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy.
Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners.
Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices.
Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange.
Continuously evaluate and validate both internal and external products to ensure Cint's continued success and the health of the Exchange.
Create clear, effective deliverables that communicate complex insights and recommendations through compelling visualizations and presentations tailored to diverse technical and non-technical audiences.

Qualifications

What we are looking for

Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives.
A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.
Strong ability to manipulate, analyze, and interpret large, complex datasets independently.
Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing).
Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision trees, neural networks, etc.) and their real-world advantages and drawbacks.
Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios.
Proficiency in Python (for statistical and ML package tools).
Proficiency in SQL and working with large-scale databases.
Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application.

Essential Qualities:

Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results.
Strong data-driven mindset with the ability to translate abstract business requests into actionable analytical initiatives and solutions.
Excellent written and verbal communication skills, with the ability to explain, defend, and present complex analytical techniques and findings to diverse audiences, including senior leadership and non-experts.
Ability to understand the big picture strategic objectives while ensuring meticulous attention to detail in execution.

Bonus points if you have

Experience in marketplace dynamics, matching algorithms, or supply/demand optimization.
Experience with survey exchange platforms.
Knowledge of dynamic pricing models.
Experience with Databricks and using it for scalable data processing and machine learning workflows.
Experience working with big data technologies (e.g., Spark, PySpark).
Experience with online market research methods/products.

Additional Information

#Li-Remote

#Li-Jc1

Our Values

Collaboration is our superpower

We uncover rich perspectives across the world
Success happens together
We deliver across borders.

Innovation is in our blood

We’re pioneers in our industry
Our curiosity is insatiable
We bring the best ideas to life.

We do what we say

We’re accountable for our work and actions
Excellence comes as standard
We’re open, honest and kind, always.

We Are Caring

We learn from each other’s experiences
Stop and listen; every opinion matters
We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth.

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.

","hiringOrganization":{"@type":"Organization","name":"Cint","sameAs":"https://www.cint.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Project Manager - Life Sciences","datePosted":"2025-09-19","description":"

Company Description

Every day we help our major global clients deliver ambitious and highly technical projects, in over 110 offices worldwide.

Job Description

Turner & Townsend is currently recruiting for Project Managers to join our Life Science Real Estate.

With a market leading client base in and around central London and the opportunity to join immediate commissions, this is an exciting time to join the business unit and grow a career with Turner & Townsend.

This role is client facing, working within a professional and ambitious team, where you will receive excellent support. We have brought our brightest minds together to respond to our client’s Project and Programme management objectives.

Responsibilities

Develop project plans including programmes, budgets and co-ordinate scheduling and milestones to ensure projects remain on track.
Oversee the project budget, including cost estimation, reviewing and approval of applications for payments from both contractors and designers.
Lead and supervise the project team, including contractors, architects, engineers and subcontractors. Build relationships and foster a collaborative and productive work environment.
Identify potential project risks, issues and dependencies including safety, legal, financial and environmental which could have the impact to affect project budget and delivery timelines. Management of the scoring of risks and outlining suitable mitigations and track these to ensure risks and issues do not materialise.
Act as the primary contact for clients, stakeholders and external contractors being able to provide regular updates on project progress and any concerns to be highlighted.
Manage the procurement process for designers and principal contractors for projects ranging in size and scale.
Management of contracts with contractors, overseeing the contract negotiations, execution and enforcement ensuring that all terms and conditions are met by the parties involved.
Oversea the management of construction on site, commissioning and validation along with project close out and the capitalisation process.
Complete monthly reporting at a project level into programme directors.

Qualifications

Degree qualified in one of the following fields: Engineering, Project management or Construction Management
Ideally NEC accredited Project Manager
Member of a chartered institute e.g., RICS or happy to work towards
Good knowledge of construction industry themes such as MMC, Net Zero Carbon and Digital agenda
Good knowledge of the full project lifecycle and business case approvals process
Ideally experience of working on science based projects in complex live environments

What experience we are looking for:

Detailed knowledge of and experience in the delivery of life sciences projects circa 5 years.
Experience of strategic estate development and capital project planning for business case redaction is desirable.
Detailed experience of NEC contract administration is desirable
Demonstrable experience in client-facing roles at all levels (including Directors of Estates/Strategy and Planning/Capital Development) to develop stakeholder relationships and drive project progression.

Additional Information

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance.

Please find out more about us at www.turnerandtownsend.com/

#Li-Mm1

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

Company Description

Every day we help our major global clients deliver ambitious and highly technical projects, in over 110 offices worldwide.

Job Description

Turner & Townsend is currently recruiting for Project Managers to join our Life Science Real Estate.

Responsibilities

Develop project plans including programmes, budgets and co-ordinate scheduling and milestones to ensure projects remain on track.
Oversee the project budget, including cost estimation, reviewing and approval of applications for payments from both contractors and designers.
Lead and supervise the project team, including contractors, architects, engineers and subcontractors. Build relationships and foster a collaborative and productive work environment.
Identify potential project risks, issues and dependencies including safety, legal, financial and environmental which could have the impact to affect project budget and delivery timelines. Management of the scoring of risks and outlining suitable mitigations and track these to ensure risks and issues do not materialise.
Act as the primary contact for clients, stakeholders and external contractors being able to provide regular updates on project progress and any concerns to be highlighted.
Manage the procurement process for designers and principal contractors for projects ranging in size and scale.
Management of contracts with contractors, overseeing the contract negotiations, execution and enforcement ensuring that all terms and conditions are met by the parties involved.
Oversea the management of construction on site, commissioning and validation along with project close out and the capitalisation process.
Complete monthly reporting at a project level into programme directors.

Qualifications

Degree qualified in one of the following fields: Engineering, Project management or Construction Management
Ideally NEC accredited Project Manager
Member of a chartered institute e.g., RICS or happy to work towards
Good knowledge of construction industry themes such as MMC, Net Zero Carbon and Digital agenda
Good knowledge of the full project lifecycle and business case approvals process
Ideally experience of working on science based projects in complex live environments

What experience we are looking for:

Detailed knowledge of and experience in the delivery of life sciences projects circa 5 years.
Experience of strategic estate development and capital project planning for business case redaction is desirable.
Detailed experience of NEC contract administration is desirable
Demonstrable experience in client-facing roles at all levels (including Directors of Estates/Strategy and Planning/Capital Development) to develop stakeholder relationships and drive project progression.

Additional Information

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance.

Please find out more about us at www.turnerandtownsend.com/

#Li-Mm1

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

Company Description

Every day we help our major global clients deliver ambitious and highly technical projects, in over 110 offices worldwide.

Job Description

Turner & Townsend is currently recruiting for Project Managers to join our Life Science Real Estate.

Responsibilities

Develop project plans including programmes, budgets and co-ordinate scheduling and milestones to ensure projects remain on track.
Oversee the project budget, including cost estimation, reviewing and approval of applications for payments from both contractors and designers.
Lead and supervise the project team, including contractors, architects, engineers and subcontractors. Build relationships and foster a collaborative and productive work environment.
Identify potential project risks, issues and dependencies including safety, legal, financial and environmental which could have the impact to affect project budget and delivery timelines. Management of the scoring of risks and outlining suitable mitigations and track these to ensure risks and issues do not materialise.
Act as the primary contact for clients, stakeholders and external contractors being able to provide regular updates on project progress and any concerns to be highlighted.
Manage the procurement process for designers and principal contractors for projects ranging in size and scale.
Management of contracts with contractors, overseeing the contract negotiations, execution and enforcement ensuring that all terms and conditions are met by the parties involved.
Oversea the management of construction on site, commissioning and validation along with project close out and the capitalisation process.
Complete monthly reporting at a project level into programme directors.

Qualifications

Degree qualified in one of the following fields: Engineering, Project management or Construction Management
Ideally NEC accredited Project Manager
Member of a chartered institute e.g., RICS or happy to work towards
Good knowledge of construction industry themes such as MMC, Net Zero Carbon and Digital agenda
Good knowledge of the full project lifecycle and business case approvals process
Ideally experience of working on science based projects in complex live environments.

What experience we are looking for:

Detailed knowledge of and experience in the delivery of life sciences projects circa 10 years.
Experience of strategic estate development and capital project planning for business case redaction is desirable.
Detailed experience of NEC contract administration is desirable
Demonstrable experience in client-facing roles at all levels (including Directors of Estates/Strategy and Planning/Capital Development) to develop stakeholder relationships and drive project progression.

Additional Information

Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change.

We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance.

Please find out more about us at www.turnerandtownsend.com/

#Li-Mm1

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

SOX control responsibilities may be part of this role, which are to be adhered to where applicable.

Join our social media conversations for more information about Turner & Townsend and our exciting future projects:

Twitter

Instagram

","hiringOrganization":{"@type":"Organization","name":"Turner & Townsend","sameAs":"https://www.turnerandtownsend.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"We are looking for our first Data Scientist. You are a highly motivated individual contributor. You will define a data-driven-culture across our consumer product and developer platform. You will define our north star metrics and establish source-of-truth dashboards that the entire team can use to answer their own growth, product and research questions. You should expect to be working cross functionally across product, growth and research.
You thrive in a hyper-growth tech company. You are creative in your thinking and tactical in how we execute. You love numbers and users.
Note: This job is not meant for recent graduates\n

Responsibilities

Embed in the product, growth and research teams to uncover ways to drive growth
Set up the data science infrastructure and dashboards in a way so all teams can answer most questions in a self-serve way
Establish a data driven culture by identifying, communicating and socializing our north-star-metrics
Define and answer tests for impact of growth tests, product changes and model changes on the end users

Background

7+ years of experience in a data science role. Ideally a founding data scientist or lead analyst at a hyper growth product or research company.
While you are not a software engineer you are comfortable building and maintaining a modern data stack
Push to define and implement metrics
Push to design and analyze experiments with clear insights and recommendations
You are a self-starter who gets the job done
Have superb communication skills with the ability to communicate cross functionality
You have outstanding interpersonal skills and can build great relationships
You have a sense of humor

Compensation

The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

","hiringOrganization":{"@type":"Organization","name":"Luma AI","sameAs":"https://lumalabs.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, California","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":27,"item":{"@type":"JobPosting","title":"Senior Business Development Representative - Life Sciences","datePosted":"2025-09-19","description":"Senior Business Development RepresentativeJoin a Mission-Critical Team Where Precision Meets GrowthAt SQA Services, you won’t just generate leads, you’ll architect pathways into some of the most sophisticated and regulated markets on the planet. Our clients in aerospace, life sciences, and medical devices operate where failure isn't an option, compliance is paramount, and every decision carries profound consequences.
As our Senior Business Development Representative, you won't be making cold calls to small businesses. Instead, you'll be the strategic entry point for enterprise deals that can transform both our clients' operations and our company's trajectory.
The Role: Strategic Market Intelligence & Opportunity ArchitectureYou'll partner directly with our most experienced enterprise sellers to penetrate accounts where buying cycles span months, stakeholder groups include C-suite executives, and regulatory considerations influence every conversation. This isn't traditional prospecting; it's strategic market development in environments where your understanding of compliance frameworks, quality management systems, and risk mitigation becomes as important as your sales skills.
Your Strategic Impact:Account Intelligence Development: Research and map complex organizational structures within Fortune 500 aerospace manufacturers, pharmaceutical companies, and medical device innovatorsRegulatory-Aware Messaging: Craft sophisticated outreach that demonstrates a deep understanding of FDA regulations, AS9100 standards, and ISO 13485 requirementsExecutive-Level Engagement: Connect with VP-level and C-suite decision makers who oversee quality, compliance, and operational excellence initiativesPartnership-Driven Prospecting: Collaborate with senior Account Executives to develop multi-threaded account penetration strategiesEnterprise Meeting Generation: Secure high-value discovery meetings that often lead to six and seven-figure opportunities
\n

Your Daily Excellence

Execute sophisticated, multi-touch campaigns targeting key stakeholders within our 200+ enterprise target accounts
Utilize advanced SPICED qualification frameworks, understanding regulatory pressures, audit cycles, and compliance modernization initiatives
Coordinate with senior sellers to align outbound efforts with broader account strategies
Generate 6+ qualified enterprise meetings monthly that advance strategic opportunities
Stay current on regulatory changes, industry trends, and compliance challenges affecting aerospace, life sciences, and medical device sectors
Develop industry-specific messaging that resonates with quality directors, compliance officers, and operational leaders
Participate in industry conferences and webinars to deepen sector expertise
Leverage HubSpot to maintain detailed account intelligence and opportunity progression
Create comprehensive account profiles, including regulatory status, recent audits, and strategic initiatives
Track sophisticated metrics, including engagement quality, stakeholder mapping progress, and regulatory event correlation

What Sets You Apart

Proven BDR Excellence: 5+ years of demonstrated success in business development, preferably in enterprise or regulated environments
Sophisticated Communication: Ability to engage confidently with senior executives and articulate complex regulatory and technical concepts
Strategic Mindset: Understanding that enterprise sales requires patience, persistence, and strategic thinking beyond typical transactional approaches
Regulatory Curiosity: Genuine interest in learning about compliance frameworks and how they impact business operations
Experience in regulated industries (aerospace, pharmaceuticals, medical devices, electronics, or similar)
Enterprise sales environment exposure, where deals involve multiple stakeholders and extended cycles
Understanding of quality management systems, compliance frameworks, or regulatory requirements
Track record of exceeding targets in sophisticated sales environments

Why This Opportunity Transforms Your Career

Work alongside seasoned enterprise sellers who mentor and develop your strategic selling capabilities
Gain deep expertise in regulated industries that will position you to transition into an Account Executive role at SQA
Participate in high-stakes deals where your contributions directly impact company growth
Clear path to Account Executive role within 18-24 months for top performers
Exposure to C-suite executives and complex enterprise decision-making processes
Build expertise in markets where specialized knowledge commands premium compensation

Key Performance Indicators

Enterprise Meetings Generated: 6+ qualified monthly meetings with senior stakeholders
Account Penetration: Multi-stakeholder engagement within target enterprise accounts
Meeting-to-Opportunity Conversion: 70%+ of generated meetings advance to formal opportunities
Strategic Outreach Volume: 5-10 targeted touches daily across multiple channels
Account Research Depth: Comprehensive stakeholder mapping for all target accounts
Regulatory Awareness: Demonstrated understanding of industry-specific compliance requirements
Collaborative Integration: Seamless partnership with Account Executive team members

This role offers more than career advancement; it provides the opportunity to become a specialist in some of the most sophisticated and lucrative markets in business. You'll develop expertise that few sales professionals possess while working with clients whose work literally saves lives and advances human capabilities.
If you're ready to elevate your sales career beyond traditional prospecting into the realm of strategic enterprise development, we want to hear from you.","hiringOrganization":{"@type":"Organization","name":"SQA Services, Inc.","sameAs":"https://www.sqaservices.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Manager, Financial Institutions Consulting | Life Sciences","datePosted":"2025-09-19","description":"

Financial Institutions Consulting (FIC)

IQVIA's FIC team advises investors (e.g. private equity, venture capital, hedge funds, etc) on biopharma and life sciences investments, including commercial due diligence, asset and target screening, portfolio company growth strategy and exit/divestment strategy.

Successful candidates will have the opportunity to engage with clients on high-profile investment decisions across a variety of industry-shaping transaction situations, business models and strategic issues. We operate in a multi-cultural, collaborative and fast-paced work environment, that is rich in development and growth.

Role & Responsibilities

As a Manager within IQVIA’s FIC team, you will be responsible for managing projects primarily in the areas of due diligence (buy- and sell-side), asset/portfolio/company valuation, asset screening and growth strategy

Leverage consulting and transaction advisory experience, IQVIA information and expertise, and methodological know-how to manage projects that address client / business questions.
Diagnose and understand complex strategic issues / diligence questions and structure project approach and team setup to address engagement objectives
Manage project teams on a day-to-day basis through guiding research approaches, the design, development and delivery of client reports and presentations and QC of deliverables
Serve as day-to-day point of contact with clients during project delivery – including presenting / communicating key project insights and recommendations – ensuring engagement satisfaction and supporting long-term enhancement of client relationships
Contribute to overall FIC team capabilities, including (but not limited to) the development of intellectual property, marketing materials, training, recruitment and go-to-market approach
Support Principals with business development, including proposal development and presentations.
Serve as development lead of 3-4 team members, alongside supporting broader team development

About You

Candidates interested in joining IQVIA FIC as a Manager should have:

Minimum of 5-6 years professional experience in strategy consulting, M&A/BD&L roles or within a financial institution (e.g. private equity, venture capital) in the Life Science space.
Experience advising clients on commercial issues in the biopharma / life sciences industry and/or financial investors, including exposure to projects related to transactions / investments (due diligence, valuation, asset identification, growth strategy, forecasting)
Project management experience in relevant domains, including managing large, multi-disciplined teams while maintaining high quality delivery. Demonstrated skills including project planning, workstream oversight, presentation/report development, quality control and client engagement
Strong quantitative / analytical and qualitative research experience, supported by a problem solving mentality, keen eye for detail and critical thinking. Comfortable interpreting commercial / financial trends and results, with ability to guide teams to design and execute research and analysis and translate outputs into strategic implications for investors
Well-developed written and verbal communication skills including presentations, chairing meetings / Q&A sessions and report writing
Knowledge of key issues and current developments in the biopharma / life sciences industry
Evidence of career progression in consulting and/or transaction advisory roles

In addition to the skills and experience above, a Manager should have:

Bachelor’s degree or equivalent. MBA not required but a plus
A track record of leadership and people development
Fluency in English (spoken and written)
A willingness and ability to travel (where required)
Right to live and work in the recruiting country

Management of Others - Enables others to perform. Sets a clear direction and delegates fairly and appropriately allowing direct reports the means to achieve their goals. Looks for opportunities to develop individuals by encouraging them to take on greater responsibility and make decisions for themselves

Whatever your career goals, we are here to ensure you get there!

Benefits

We work hard to prioritise the things that matter most to you. Visit our benefits page for information on everything from perks to well-being initiatives and career enhancement.

#Conjad

#Li-Ks2

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

","hiringOrganization":{"@type":"Organization","name":"IQVIA","sameAs":"https://www.iqvia.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Scientist –Gen AI Chatbot","datePosted":"2025-09-19","description":"

📍 Sydney, NSW | 💼 Full-Time | 🧠 Data Science | 🆕 New Squad Opportunity

About The Role:

Join a newly formed, forward-thinking squad focused on building Gen AI-powered chatbot solutions to transform dispute processing and fraud detection.

This is a greenfield opportunity to design intelligent agent workflows using GPT-4 and LLMs, with a direct impact on customer experience and operational efficiency.

Key Responsibilities:

Develop Gen AI chatbots for dispute types using agentic workflows.
Integrate a first-party fraud detection model to introduce intelligent friction in claims lodgement.
Collaborate with cross-functional teams including fraud, product, and engineering.
Apply LLM technologies (e.g., GPT-4, LangChain) for prompt engineering, RAG, and guardrail design.
Produce clear documentation and communicate effectively with stakeholders.

What You’Ll Bring:

Proven experience in Gen AI, chatbot development, and LLMs.
Strong foundation in statistics and probability; able to interpret models.
Proficiency in Python and experience with AI/ML model development.
Excellent communication skills for documentation and stakeholder engagement.
Tertiary qualification in Data Science, Statistics, Computer Science, or a related field.
Experience in fraud modelling or financial services.
Familiarity with agentic workflows and multi-agent LLM systems.
Exposure to dispute resolution or claims processing systems.
Be part of a brand-new initiative — no legacy systems, full creative freedom.

Nice To Have:

Why Join Us?

Work with cutting-edge Gen AI technologies in a high-impact domain.
Collaborate with a passionate team driving innovation in customer experience and fraud prevention.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 25/09/2025","hiringOrganization":{"@type":"Organization","name":"Commonwealth Bank","sameAs":"https://www.commbank.com.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, VIC - 357 Collins Street, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Technical Coordinator - Chemistry & Life Sciences","datePosted":"2025-09-19","description":"

Overview:

Full-Time, Continuing Position
Salary HEW 7 ($103,603 - $112,144 p.a.) + 17% Superannuation and Flexible Working Arrangements
Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University

About You

This exciting employment opportunity is ideal for someone with significant experience in a technical support setting in biosciences, chemistry or similar field, and who is looking to take a career step into a leadership role. You will bring a high-level of expertise, passion and commitment to technical support within a teaching or research environment. You have a strong knowledge of laboratory OH&S and risk management, and hands‑on experience in lab operations, inventory and procurement, equipment lifecycle and vendor/supplier liaison.

As an individual, you have a service mindset and understand the importance of the support you provide to our stakeholders. You are committed to leading, mentoring and developing your team. You are highly organised, proactive and solutions‑focused, and able to prioritise in a fast‑paced environment.

About The Role

The Technical Coordinator - Chemistry & Life Sciences, will oversee the day-to-day technical operations and support for the learning and teaching, research, and industry activities within the Chemistry and Life Sciences laboratories. This role will lead a team of technical officers to deliver a high quality, compliant, professional and timely service that meets organisational and stakeholder expectations, collaborating closely across the STEM College and RMIT’s central services groups.

To be successful in this position, you’ll have:

Proven knowledge, experience, and technical ability in Biosciences, Chemistry or a similar discipline including a good working knowledge of associated techniques and practices, an advanced understanding of the safe operation of relevant equipment, and experience in the successful development and implementation of projects.
Detailed knowledge of current OHS legislation, regulations and standards with expertise in hazardous scenario management, and relevant experience in managing safe and compliant operations, preferably in a teaching and research environment.
Proven initiative and problem-solving skills, the ability to organise, plan and manage complex tasks, work to deadlines, effectively allocate resources, and evaluate and report on outcomes.
A strong service orientation with highly professional standards with experience in providing prompt, proactive, high-level support and a demonstrated ability to deliver innovative and creative solutions.
Effective communication and interpersonal skills and the ability to work effectively both independently and within a team.
A commitment to RMIT’s policies of supporting a diverse workplace along with zero tolerance towards harassment, bullying or discrimination in any form.
A tertiary qualification in Science (Biology and/or Chemistry would be considered favourably) and relevant experience preferably in the tertiary education sector.

Please Note: Appointment to this position is subject to passing a Working with Children, Medical Assessment and National Police Check.

About the STEM College Office Professional Staff

The STEM College Office Professional staff provide exceptional and efficient support to the College.

The Learning, Teaching and Quality teams support:

Quality Enhancement
Learning and Teaching support

The Professional shared services Group delivers service to all four Schools across five distinct functions:

Student Lifecycle
Planning & Operations
Technical Services
Program & Governance
Wil & Engagement

Relevant digital solutions – such as Workday – are used by the five teams to streamline processes and drive operational efficiencies. The Group’s end-to-end professional support ensures a consistent approach to the operational and strategic functioning of the College and adherence to University policies and procedures.

The STEM College Office professional staff are instrumental in providing students with a transformative and enriched learning experience, and in supporting our research and engagement administration activities. Centralised in the STEM College Office, at our City and Bundoora campuses, professional staff members have opportunities to cross-skill, engage in professional development and develop their own career paths.

To Apply

Please submit your CV and covering letter addressing your suitability for this position by clicking on the ‘Apply’ link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact David Heathcote, Senior Technical Manager, City (Teaching) via email david.heathcote@rmit.edu.au .

For further information regarding recruitment processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email at jennifer.pham2@rmit.edu.au Please do not share your application to this email address.  

Position Description – Technical Coordinator, Chemistry & Life Sciences

Please note, if you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Applications Close:

5 Oct 2025 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers .

We are a Circle Back Initiative Employer – we commit to respond to every applicant.

","hiringOrganization":{"@type":"Organization","name":"RMIT University","sameAs":"https://www.rmit.edu.au/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"City Campus, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Adjunct Faculty Life Sciences","datePosted":"2025-09-19","description":"Adjunct Faculty Position Posting
Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals and for providing effective instruction and assessment within the framework of common syllabi provided. Please note that courses will likely include an on-campus component.

Major Responsibilities:

Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives.
Makes optimal use of available technology to enhance instructional methods.
Develops/maintains course outlines, syllabi, lesson plans, assignments, tests, and materials. Maintains accurate student records, grades, and other requirements.
Engages with students in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College, showing evidence of developing and implementing active classroom teaching strategies focused on engaging students with their learning (curricular).
Interacts with students and co-workers in a professional and cooperative manner; complies with College policies, campus guidelines, and expectations.
Ensures knowledge of and implements emergency and safety procedures for classrooms, labs, and all learning environments.

This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards.

Ivy Tech employee benefits: https://careers.ivytech.edu/benefits

Must have strong working knowledge of current technologies appropriate to area of instruction and meet faculty credentials as outlined in the ASOM 7.1 for the specific area(s) of instruction. Conducts all activities with appreciation and respect for varying ideas and perspectives.

Credentials:

A qualified faculty member in anatomy and physiology meets the discipline standard through one of two routes:

Possesses an earned master's or higher degree from a regionally accredited institution in a biological science, or
Possesses an earned master's or higher degree from a regionally accredited institution in any field with 18 graduate semester hours in biology-related courses.

A qualified faculty member in biology meets the discipline standard through one of two routes:

Possesses an earned master’s or higher degree from a regionally accredited institution in a biological science, or
Possesses an earned master’s or higher degree from a regionally accredited institution in any field with 18 graduate semester hours in biology-related courses.

Applicants are asked to submit any relevant transcripts with their application to confirm credentialing.

Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College’s Title IX Coordinator or to the US Department of Education Office of Civil Rights.

","hiringOrganization":{"@type":"Organization","name":"Ivy Tech","sameAs":"https://www.ivytech.edu/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Richmond, IN, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

What will you be doing

Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
Create high-quality project plans to help shape the future of the team.
Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers.
Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers.
Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.
Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards.

Skills And Experience

Essential

University degree in a highly analytical discipline (data science, mathematics, physics, economics, and similar disciplines).
Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.
Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.
Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.
Previous experience leading and mentoring others—either formal or informal—showing a willingness to support growth and development.
Experience in proactively engaging with business stakeholders to scope and define projects.
Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.
Nice to haves: experience with one or more of credit risk, collections risk, affordability, IFRS9 and customer credit behaviours models.

Desirable

Be self-motivated and comfortable working in a fast-paced environment where priorities evolve.
Have a strong sense of accountability and ownership, with great organisational, planning and time management skills.
Have great team spirit, supporting team and colleagues on tasks big and small.
Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

Your Personal Attributes

Naturally Curious
You are a relentlessly positive person; you see opportunities not issues
Self-starter who can resolve ambiguity and plot a path forward
Self-reflective, with the drive to continuously find opportunities for improvement
Superb communicator who can flex your style according to the needs of the audience
Good attention to detail
Able to empathise with team-members and business partners
We work with Textio to make our job design and hiring inclusive.

#Li-Hybrid

#Li-Tm1

Permanent","hiringOrganization":{"@type":"Organization","name":"NewDay","sameAs":"https://newday.co.uk/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom","addressCountry":"United Kingdom","addressRegion":"Europe"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-19","description":"

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a passionate Senior Data Scientist who is eager to make an impact on their career and take on a new challenge!

P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others. With the growth, we are happy to offer Senior Data Scientist roles.

In your role, you will take ownership of a particular business space with algorithmic model needs. As a Senior Data Scientist, you are expected to own the algorithmic evolution roadmap and be a thought leader on algorithmic enablement of IT products, as well as share knowledge and mentor other data scientists where applicable. We work all across traditional machine learning, deep learning, GenAI, optimization models, statistical models, adopting methods as required for the problem. To do your job well, you will need to build solid business understanding of your problem space.

In Warsaw Hub we specialize in developing and bringing algorithms to scale, always keeping impact, value, resilience, and reliability in mind. Our work impacts P&G's 100k+ employees and billions of consumers around the world.

You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a 200+ global team of Data Scientists across US, Panama, Switzerland, Belgium, Poland, Singapore, India and China. You will be able to network and learn from scientists with diverse backgrounds and seniorities. On top, in our Warsaw Hub, we do plenty of knowledge sharing on a weekly basis and have a unique job setup which will allow you to experience data science beyond your own key scope of responsibilities.

Our best-in-class P&G AI Factory platform you will use is an example taught about by Harvard Business School, and we continuously improve our developer experience, thanks to our strong AI Engineering team.

With us you will

Partner with product teams and business leaders to fully understand the problem, and AI & data engineering teams to automate & deploy your models into applications
Develop your insights to steer the algorithmic evolution roadmap in your area of ownership
Analyze and model on big datasets – e.g., translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations
Answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms
Further develop understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models – and how to apply them to real-world problems
Further learn what it takes to build and maintain a resilient algorithmic pipeline that passes the test of time, and what it takes for an algorithm to materialize its impact and value
Write production-grade code applying best practices

Job Qualifications

At least a Master's in a quantitative degree (Statistics, Operations Research, Systems Engineering, Computer Science, Applied Math, Economics), Bachelor's/Engineer degree with sufficient consecutive data science experience
At least 5 years of experience in Data Science, with at least 3 years of experience with production-grade Data Science / algorithmically enabled applications
Solid code writing capabilities - Python and Spark are preferable
Strong technical & analytical skills (SQL, optimization, simulation, predictive modeling etc)
Proven success in leadership, problem solving,and and prioritising
Strong collaboration skills and working comfortably across teams
Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
Basic understanding of Business Intelligence Tools such as Power BI, Tableau
Experience with Agile DevOps, Github, Jira, Confluence

Nice To Have

What We Offer

Work in an international Data Science team with global responsibilities (with a large part of the engineering and product teams located in Warsaw)
Long-term career with development and growth opportunities
Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)
Relevant trainings, certifications, and conference participation
Internal coaching programs & training
Flexible Working Arrangements

Who We Are

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Procter & Gamble, we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Kindly be advised that at P&G, employment is exclusively extended on the basis of \"Umowa o Pracę\" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000135222

Job Segmentation

Experienced Professionals","hiringOrganization":{"@type":"Organization","name":"Procter & Gamble","sameAs":"https://pg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"WARSAW DOWNTOWN OFFICE, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Strategy Consultant - Pharma / Life Sciences","datePosted":"2025-09-19","description":"

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics, and human ingenuity to drive healthcare forward. IQVIA is present in more than 100+ countries around the world.

IQVIA Consulting Services is the world’s leading, specialized advisor on critical business issues in the life sciences. We are the strategy arm of IQVIA, offering end-to-end management consulting to the pharma / biopharma industry. It is our sole focus on life sciences, deep expertise in key commercial and technical areas, unique access to proprietary data, and in-market presence around the world that allows us to achieve our mission of making a positive long-term impact on healthcare.

Job Overview

We are seeking a highly motivated candidate for a Strategy Consultant position to join our Management Consulting team based in Prague covering Central East Europe region. IQVIA Consulting represents exciting opportunity to work in the dynamic and rapidly evolving pharma industry and make a real impact in the lives of patients.

The Strategy Consultant will help us drive the success of our clients by utilizing various sources of data ranging from detailed patient level analysis to primary intelligence, drive healthcare forward e.g. via launch support strategy, Loss of Exclusivity, commercial excellence, acquisitions, supply management or patient journey and many more various strategic projects in the pharma industry.

Key Responsibilities:

Analyze client requirements and develop tailored proposals and solutions
Conduct quantitative and qualitative analyses
Design and deliver presentations that effectively communicate insights to diverse audiences
Develop and present comprehensive client deliverables
Continuously enhance your knowledge of consulting methodologies and the life sciences market through engagements and learning opportunities
Collaborate with pharmaceutical companies, payers, hospitals, governments, and healthcare professionals to provide valuable insights and support informed decision-making

Qualifications

Bachelor'S Degree
5 years+ experience in consulting, healthcare knowledge will be an advantage
Strong English and Czech language knowledge
Strong teamwork and collaboration skills
In-depth understanding of business processes and their interactions
Proficiency in consulting methods, tools, and techniques
Awareness of industry trends and developments
Excellent time management skills

Why Join Us?

Be part of a publicly traded global leader in the healthcare market and became an expert in the field
Have an opportunity for quick career growth and great client exposure
Collaborate in a team with a supportive and dynamic atmosphere
Work in an international environment with daily collaboration across Europe
Be rewarded you with an attractive salary and package

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Manulife is a leading international financial services provider, helping people make decisions easier and lives better. Help shape the future you want to see — and discover that better can take you anywhere you want to go.

Responsibilities:

Develops and implements analytics enabled solutions to improve business process, to generate insights, support business goals and strategy development
Owns and delivers projects of diverse scope.
Oversees the work of more junior data scientists.
Works on problems of diverse scope / complexity where analysis of situations or data requires an in-depth evaluation of a variety of factors
Strong ability to generate relevant, actionable insights based on iterative data analysis, translate data-driven output into business language, and to make appropriate recommendations to respective business stakeholders
Independently provides analysis on datasets of significant complexity.
Quickly able to develop enough business insight to connect data sources across multiple diverse and complicated systems.
Recommends implementable solutions to (or in collaboration with) business partners.
Considers change management in all aspects of their work.
Supports more junior data scientists with Change Management.
Has intimate understanding of the business value chain and customer lifecycle for a line of business or more.
Has fundamental understanding of the business as a whole, and has started to build a network of people for ideation, info sharing, knowledge.
Understands the corporate climate and culture Strong knowledge of the business
Engages in ongoing discussions and moves others towards a position, appealing to their needs and interests to gain acceptance
Maintains a strong internal network, begins to network with more senior stakeholders within the organization.
Begins to develop an external network and develop their own brand, particular in their own practice area.
Actively involved in recruitment of data science professionals (campus etc.0
Shares ideas with others, leads brainstorming sessions.
Contributes to solutions outside immediate area of expertise.
Actively seeks out coaching and incorporates feedback into their work.
Provides guidance and mentorship to more junior data scientists.
Promotes best practices within the team.
Shares technical expertise with others.
Owns their career development.
Takes advantage of available resources to advance their technical and business skills.
Understands how their project supports broader business strategy, including the core drivers of business value.
Able to prepare a business case on the benefits of their assigned work.
Incorporates lessons learned throughout the business into their work.
Engages with global counterparts to share learnings.

Strong ability to construct systematic process to implement analytics insights and solutions, this includes (but not limited to):

designing a process with multiple relevant parties with clear specifications of roles and responsibilities
identifying required tasks, system / data flow and contingency
specifying check-and-balance throughout the process
establishing rigorous tracking and closed-loop learning
implement such process in a scalable way

Requirements:

Advanced degree in Statistics, Math, Computer Science, or Engineering; or Bachelor’s degree with equivalent technical experience
Minimum of 5 years of applicable experience Advanced knowledge of programming languages and concepts ( SAS, SPSS, R (different modules) or Python)
Expert in basic and advanced statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques (regression, cluster / factor / principle components, decision tree, survival analysis, etc.
Advanced knowledge of different techniques and knowledge of machine learning algorithms.
Basic knowledge of AI toolkits.
Expert in data visualization tools such as Tableau, QlikView, open source data visualization libraries - ggplot and d3.js
Advanced knowledge of common database querying languages such as SQL.
Capability of applying a systematic, structured approach to explore / navigate / mine massive amount of data, structured or un-structured, to uncover hidden patterns / insights.
Strong working knowledge of relational database models (data vaulting techniques, rules tables).

When You Join Our Team:

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Working Arrangement

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Job Title :Senior Data Scientist

Location : Bangalore, India

About Unilever:

Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.

Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.

About Uniops:

Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

Main Purpose Of The Job:

The Senior Data Scientist improves business performance in the functional area of Unilever they serve, through the application of world class data science capability. They own delivery of data science on moderate projects or specific modules of a major global initiative.

Key Accountabilities:

Interact with relevant teams to identify business challenges where data science can help
Apply comprehensive data science knowledge to propose optimal techniques for key business challenges
Create detailed data science proposals and project plans, flagging any limitations of proposed solution
Design and prototype experimental solutions, particularly machine learning models
Design scaled solutions and ensure high quality and timely delivery
Facilitate industrialization and ongoing operation of solutions through well organised code, clear documentation and collaboration with ML Ops resources
Govern the work of 3rd party vendors where needed to support delivery, while maximising creation of Unilever IP
Represent Data Science in cross-functional governance of projects, engaging with stakeholders up to Director level
Highlight recent developments in data science capability which could solve additional challenges
Lead a team of up 1-2 data scientists / interns, providing career mentorship and line management
Provide technical guidance to data scientists across D&A, particularly on the projects you lead
Support the growth of D&A’s data science capability by contributing to activities such as tool and vendor selection, best practice definition, recruitment, and creation of training materials
Build the reputation of D&A’s data science capability within Unilever and externally, through activities such as community engagement (e.g. Yammer), publications or blogs
Provide ad-hoc & immediate support to the business when needed (for example Covid-19 crisis support)
Depending on the specific project, the Senior Data Scientist can expect 60-90% of their work to be hands-on prototyping solutions, with the remainder spent planning and designing, overseeing and reviewing work of project staff, interfacing with stakeholders and managing team members.

Key Skills Required

Professional Skills

Machine learning - Expert
Statistical modelling - Expert
Forecasting - Expert
Optimisation techniques and tools - Fully Operational
Python coding - Fully Operational
Data science platform tools e.g. MS Azure, Databricks - Fully Operational
Deep learning (and applications to NLP & Computer Vision) - Fully Operational
Collaborative development using Git repos - Fully Operational
Automated Machine Learning platforms - Foundational knowledge

While a broad data science technical background is required, the role will benefit from deeper skills (for example graduate studies or prior work experience) in one of the following areas, optimization, simulation, forecasting, natural language processing, computer vision or geospatial analysis.

General Skills

Project Management - Expert
Communication / presentation skills - Expert
3rd party resource management - Expert
CPG Industry analytics - Expert

Strong communication and stakeholder engagement skills are essential, including the ability to influence peers and senior business stakeholders across Unilever.

Relevant Experience:

Minimum of B.E. in a relevant technical field (e.g. Computer Science, Engineering, Statistics, Operations Research); preferably a postgraduate (Masters or Doctorate) degree
At least 4 years building data science solutions to solve business problems, preferably in the CPG industry (less experience may be acceptable if balanced by strong post-grad qualifications)
Experience with open source languages (eg. Python) and preferably with distributed computing (PySpark)
Experience deploying solutions in a modern cloud-based architecture
Experience managing the work of team members and 3rd party resource vendors
Experience presenting insights and influencing decisions of senior non-technical stakeholders
Unilever operational, marketing, customer development, supply chain, product & finance teams
Internal D&A teams (Engagement teams; Data CoE; Solution Factory; BDL Factory; Information Factory; Tech Transformation)
Wider Unilever analytics and data science professionals
3rd party Data Science vendors
Our commitment to Equality, Diversity & Inclusion

Key Interfaces

Internal

External

Universities
Industry Bodies

Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.

Note: \"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding.\"

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Many of the world’s top engineers, technologists, and scientists come together in our Water business because they see infrastructure not just as systems, but as opportunities to serve people and protect the environment. Our Management & Technology Consulting (MTC) team helps utilities and public agencies solve complex challenges at the intersection of data, technology, and operations.

We deliver modern solutions through a mix of advanced analytics, machine learning, data engineering, GIS, cloud platforms, and operational consulting. We're a fast-growing, multidisciplinary team that partners with clients to reimagine how they plan, operate, and improve critical infrastructure.

\n\n

Your Opportunity

We are seeking a Senior Data Scientist to join our Management & Technology Consulting team. This role will focus on designing, developing, and deploying data science solutions that support asset management, operations, and decision-making—turning raw data into actionable insights through analytics, machine learning, and predictive modeling.

\n\n

In addition to technical development work, this person will collaborate directly with clients to define use cases, shape digital transformation strategies, and modernize how public agencies and utilities harness data to improve performance and resilience. This is a highly collaborative, client-facing role ideal for someone who thrives at the intersection of advanced analytics, business strategy, and technology implementation.

\n\n

Key Responsibilities

Design and deliver end-to-end data science solutions, including predictive models, optimization algorithms, and decision-support dashboards.
Work with clients to identify high-value use cases for AI/ML, data analytics, and digital transformation.
Develop data pipelines, statistical models, and machine learning workflows to address infrastructure, environmental, and operational challenges.
Collaborate within multidisciplinary teams of engineers, GIS specialists, and consultants to integrate analytics into enterprise workflows.
Translate complex datasets into compelling visualizations and narratives that drive decision-making.
Build, validate, and deploy models in production environments (cloud and on-premises), ensuring scalability and reliability.
Support business development activities including scoping, client presentations, and proposal development.

\n\n

Technical Skillsets We’Re Looking For:

Proficiency in Python (preferred), R, or similar languages for data science and machine learning.• Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.• Strong data engineering skills (ETL pipelines, SQL, Spark, or cloud-native tools such as Azure Data Factory or AWS Glue).• Knowledge of cloud environments (Azure, AWS, GCP) and MLOps practices for deploying models.• Experience with geospatial analytics, spatial data processing, and GIS platforms (Esri preferred).• Ability to integrate analytics with business intelligence tools (e.g., Power BI, Tableau) for interactive insights.

Industry & Strategic Experience:

Consulting experience with utilities, local governments, or public infrastructure agencies.
Understanding of digital transformation frameworks, including how analytics supports organizational change.
Experience applying predictive analytics to asset management, operations optimization, or risk management
Familiarity with asset lifecycle management, ISO 55000 principles, and performance-based decision-making.
Experience facilitating workshops or co-developing analytics strategies with clients.

Personal Characteristics:

Analytical and strategic – You can dive into the data while connecting insights to big-picture outcomes.
Versatile – You’re comfortable moving between statistical modeling, data engineering, and client-facing discussions
Client-focused – You know how to communicate complex ideas clearly and build trust.
Collaborative – You value diverse expertise and thrive in multidisciplinary teams.
Proactive – You take ownership of problems, identify opportunities, and drive solutions forward.

Education And Experience

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field. Master’s or PhD preferred.
8+ years of progressive experience in data science, advanced analytics, or machine learning (consulting environment preferred).
Experience leading data science projects from ideation to deployment.
Prior experience working with public sector or utility clients is a plus.

\n\n

This role may require up to 15% travel. A valid driver's license and satisfactory driving record are required. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.

Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.

","hiringOrganization":{"@type":"Organization","name":"Stantec","sameAs":"https://www.stantec.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sarasota, FL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Software Engineer- Life Sciences","datePosted":"2025-09-18","description":"

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

What We’re Looking For

At Datavant we value Engineers who problem solve, build, and understand the methodologies and underlying concepts of software engineering. As a Software Engineer you will be a major factor in growing our healthcare data ecosystem solution for our clients. Don’t know our tech stack well? We view technology as a means to solving problems and getting things done, we value talent over current tech stack. You will provide hands-on resources who can work on the architect and design level while helping other team members. You will start meaningful work from day one and will be in a stretch role that can propel your career to higher levels.

What You Will Do

Contribute to design, implementation, and overall development of your products
Guide and mentor other engineers while developing cutting-edge solutions for our health data ecosystem
Own substantial projects, take on more responsibility with fewer rules, and act like an owner
Drive innovation and deliver valuable data solutions for our clients
Work with our modern tech stack including Python, JavaScript, TypeScript, React, Spark, Snowflake, AWS, Azure and more
Help contribute to our awesome tech blog - click here to check it out!

What You Need to Succeed

5+ years of experience writing production-ready code, performing code reviews, and working on full stack design and architecture of applications
Exceptional ability to write production-ready code and build scalable data flows
Readiness to thrive and communicate with your team and collaborate with others in a fast-paced environment
Demonstrated experience owning projects, migrations, and getting stuff done
Excitement, passion and curiosity about our mission of connecting the world’s health data and improving patient outcomes

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:$156,000—$190,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

\n\n\n\n\n

For more information about how we collect and use your data, please review our Privacy Policy.

\n\n\n\n\n","hiringOrganization":{"@type":"Organization","name":"Datavant","sameAs":"https://www.datavant.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Senior Commercial Consultant - Life Sciences (Consultant to Principal Consultant)","datePosted":"2025-09-18","description":"

Company Description

We believe in the power of ingenuity to build a positive human future.

As strategies, technologies, and innovation collide, we create opportunity from complexity.

Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.

Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.

PA. Bringing Ingenuity to Life

Job Description

We’re looking for experienced professionals to join our dynamic team, spanning Consultant to Principal Consultant levels. Our mission is to help clients in the biotechnology and pharmaceutical industries achieve commercial excellence, drive business transformation, and foster strategic growth.

The Ideal Candidate Will Bring:

Proven expertise in commercial strategy, product launch planning and execution, marketing and branding strategies, and advanced analytics and insights.
Focused experience in one or more disease areas such as oncology, immunology, endocrinology, neurology, or emerging therapies, with a desire to expand into other areas.

We understand that candidates may have deeper expertise in some areas while developing skills in others, and we are committed to supporting your growth. If you are passionate about driving impact in life sciences and have a strong foundation in the core functional areas, we encourage you to apply and bring your unique perspective to our collaborative and innovative team.

Key Responsibilities:

Lead and support client engagement teams, delivering high-quality solutions across commercial strategy, product launch, marketing, and business transformation for life sciences clients.
Manage and execute key workstreams in large-scale client projects, ensuring project milestones and outcomes are met.
Provide strategic insights and solutions in areas including commercial strategy, product launch, marketing, and analytics
Contribute to fostering a collaborative, innovative, and inclusive work environment, mentoring and developing junior team members.
Build and nurture long-term client relationships, expanding networks across PA Consulting and client organizations.
Stay current with industry trends, emerging technologies, and innovations in life sciences, commercial operations, and analytics.

Locations: Boston & NYC

Qualifications

Required Qualifications:

Bachelor’s or Master’s degree in Business, Biology, Pharmacology, or a related field.
3+ years of Consulting experience in the biotechnology, pharmaceutical, or life sciences with expertise in at least one of the following:
Strong commercial strategy with a focus on the US market dynamics, including knowledge of IRA, Medicare, Medicaid.
Proven experience in primary research, conducting interviews, and managing quantitative surveys within the life sciences industry.
Expertise in pharmaceutical datasets (e.g., pricing, prescription, claims databases) and proficiency in Excel
A demonstrated ability to lead teams, manage client relationships, and deliver strategic insights that drive value
Brand strategy
Commercial
Pricing and market access
Commercial operations model transformation
Digital campaign management strategy

Desirable Skills And Attributes:

Experience in oncology, immunology, neurology, endocrinology, or emerging therapy areas.
Familiarity with commercial operations, analytics, and market access.
A strong passion for leadership, problem-solving, and staying on top of trends within the Life Sciences industry.
Ability to travel as needed to meet client demands.

Additional Information

Flexibile Hybrid Working Schedule (Boston/NYC)

Benefits package at PA

Group medical insurance 
Health Savings Account with company match 
Teladoc and informed Nurse line resources 
Long term care plan 
Group dental insurance 
Vision plan 
401(k) Savings Plan with company profit sharing contribution 
Commuter and Parking tax-savings benefit 
15 days paid vacation days with the opportunity to buy five additional days 
10 paid Holidays plus 10 paid sick days 
Company and Voluntary income protection benefits 
Gym and health incentive reimbursement 
Pet and legal insurance Plans 
Employee Assistance Plan 
Annual performance-based bonus

In compliance with Colorado’s, New York & Massachusetts's Equal Pay Transparency Act, PA is required to provide a reasonable salary range for this role. This salary range is specific to the State of Colorado and is commensurate with experience, market data, applicant skills, internal equity and/or degrees/certifications. Salary Range: Low: $ 115,000 - High: $180,000

We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skillsets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status.

#Li - Kk1

","hiringOrganization":{"@type":"Organization","name":"PA Consulting","sameAs":"https://www.paconsulting.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":40,"item":{"@type":"JobPosting","title":"VP, Healthcare & Life Sciences Industry GTM","datePosted":"2025-09-18","description":"

Company Description

Job Description

ServiceNow is seeking a Vice President, Global Head of Healthcare and Life Sciences (HCLS) Go-To-Market, which includes 3 major divisions: Provider, Payor, and Life Sciences. This leader is responsible for stewarding growth upon the existing CACV portfolio by architecting industry solutions grounded in the AI platform for business transformation, and inspiring sustained growth with our most transformational customers to drive wall-to-wall impact.

Our HCLS business already serves many of the most prestigious names in the industry. This leader will build on a strong foundation to elevate growth to the next level, creating value for patients, caregivers, and researchers by helping providers improve clinical operations and patient access, payors streamline operations and care navigation, and life sciences companies accelerate R&D and supply chain innovation.

A seasoned business and growth leader, this individual will thrive in partnership with senior leaders across Product, Marketing, Field Sales, Architecture, Partner, and the broader Industry & Solutions team. This role is about setting and executing bold bets across industries, aligning the company against them, and driving elite execution in Pipeline Generation and Net New ACV growth.

A typical day involves leading senior executive workshops with strategic customers; partnering with verticalized sales leaders to analyze global industry trends and drive action plans; coaching and developing your GTM team; building breakthrough partnerships with SIs, MSPs, and advisory firms; and holding cross-functional team meetings to keep extended teams aligned.

This position will report to the GVP, Global Regulated Industries and will serve as a member of the Regulated Industries leadership team. You will manage a team of 6 individuals, including 4 direct reports: Head of Provider, Head of Life Sciences (Americas), Head of Life Sciences (EMEA), and Head of Payor, while also expanding into new markets and capabilities as the business scales.

What you will do in this role

Drive clarity on the plan to deliver siginifcant y-o-y growth in the global NNACV industry growth over the next 3 years.
Lead and inspire a world-class HCLS GTM team, providing coaching on strategies, prioritization, activation, and development.
Lead from the front in facilitating executive-level customer workshops (EBCs, customer business reviews, advisory boards), fostering genuine excitement and bias towards action with ServiceNow.
Serve as executive sponsor for selected marquee accounts, partnering with account teams and senior customer stakeholders to ensure integrated solutions and measurable outcomes.
Establish structured operating rhythms such as quarterly Industry Business Reviews and regional strategy sessions, ensuring data-driven insights inform decisions and execution.
Leverage analytics to identify trends, gaps in pipeline coverage, and sub-industry opportunities, and solution against them to accelerate growth.
Identify and prioritize wall-to-wall transformational potential across HCLS customers, teeing up sponsorship opportunities to drive platform adoption.
Build and strengthen strategic partnerships with global consultancies, SIs, and advisory practices, co-developing proprietary assets and go-to-market motions.
Partner with Product and Industry Marketing to refine solution priorities, messaging, and use cases; capture and promote marquee customer stories to strengthen market positioning.
Represent ServiceNow at global industry forums, highlighting our role in reimagining clinical operations, patient care, R&D, supply chain, and employee experiences.

Qualifications

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.Familiarity with ServiceNow platforms and tools. \n
15+ years of experience across a combination of:
C-suite leadership in Technology, Operations, or CRM within HCLS (preferred)
Management Consulting/Strategy Advisory
Enterprise software / AI / technology leadership
A proven record of transformational impact in HCLS. Ideally having lived within the industry (provider, payor, or life sciences) and designed solutions that delivered measurable business or patient outcomes.
10+ years of people leadership, inspiring and motivating high-performing global teams.
Deep expertise in leveraging technology and AI to move industry KPIs and transform operations.
Distinctive executive presence with C-suite leaders (CEO, COO, CIO/CTO, CHRO, CCO, P&L leaders) and a proven ability to expand strategic accounts.
Strong track record of building long-term, trust-based relationships with both customers and internal stakeholders in highly matrixed organizations.
Comfort with analytics, strategy development, and agile operating models, with the ability to translate insights into action.
Global experience with customers and teams.
Alignment with ServiceNow values: Win as a Team, Humble & Hungry, and Wow the Customer—reputation for integrity, honesty, and curiosity.
Ability to travel up to 50% globally.

For positions in this location, we offer a base pay of $263,000 - $447,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

Accommodations

Export Control Regulations

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Company Description

👋🏼 We'Re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a highly experienced solution architect with deep expertise in pharmaceutical commercial excellence, real-world evidence (RWE), and data-driven decision making. The ideal candidate will bring strong capabilities in application development, data engineering, BI reporting, cloud (preferably AWS) along with hands-on experience in AI/ML-driven analytics. This role will architect scalable solutions across sales, claims, EHR, and marketing data, while actively contributing to proposal building, bid preparation, and client presentations for global pharma clients.

Key Responsibilities

Data & BI Architecture

Design and implement scalable data architectures for sales, claims, EHR, and marketing datasets.
Lead BI/reporting platforms setup (Tableau, Power BI, Qlik, AWS QuickSight, etc.).
Ensure data integration, governance, and compliance with pharma regulations (HIPAA, GDPR, GxP).

Cloud & Application Development

Architect and deploy cloud-native applications (AWS preferred; Azure/GCP exposure is a plus).
Leverage AWS services (Glue, Redshift, S3, EMR, SageMaker, etc.) for ETL, analytics, and AI/ML use cases.
Enable real-world evidence (RWE) insights by integrating clinical, EHR, and claims data pipelines.
Commercial Excellence & Pharma Focus o Partner with pharma clients to enable HCP 360, patient analytics, market access dashboards, and omnichannel insights.
Translate commercial and medical strategies into scalable digital and AI-enabled solutions.
Apply deep knowledge of IQVIA datasets, prescription data, formulary/claims data, and real-world evidence frameworks.

Pre-Sales & Proposal Leadership

Build solution proposals, RFP responses, and bid preparation decks with strong storytelling.
Participate in client workshops, discovery sessions, and solution presentations.
Collaborate with business development teams to create winning proposals aligned with client pain points.
Leadership & Collaboration o Mentor teams on best practices and modern architecture patterns
Serve as a trusted advisor for senior stakeholders in pharma/biotech organizations.
Drive innovation by integrating GenAI/advanced analytics into pharma data solutions.

Qualifications

Core & Technical Skills:

15+ years in data architecture, BI, cloud, and application development.
Hands-on expertise in cloud services (preferably AWS) for data/analytics.
Strong experience in pharma datasets: sales, claims, EHR, RWE, and marketing.
Proven exposure to commercial excellence use cases (HCP segmentation, next-best-action, sales analytics).
Experience with various BI tools, cloud services, data integration tools.
Application Development: Python, Java, or .NET for data-heavy applications.

Business & Pre-Sales Skills:

Proposal development, bid preparation, and solution presentation.
Excellent communication skills to engage with C-level pharma stakeholders.
Ability to translate technical solutions into business outcomes.

Domain Knowledge:

Strong understanding of pharma commercial operations, RWE, and regulatory frameworks.
Familiarity with IQVIA, Symphony, and other commercial/RWE data providers

Additional Information

Preferred Backgroun

Based in Romania with global pharma consulting exposure.
Experience with top pharma clients across US/EU markets.
Prior roles in consulting firms, IT service providers, or pharma digital/IT teams.

","hiringOrganization":{"@type":"Organization","name":"Nagarro","sameAs":"https://www.nagarro.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Specialist Solutions Architect (Life Sciences)","datePosted":"2025-09-18","description":"

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The Team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The Role

We are looking for an experienced Specialist Solutions Architect (Life Sciences) to support our customers in academia, biotech, and pharmaceutical industries as they harness Nebius services for cutting-edge scientific research and innovation. This role is ideal for someone with a strong academic background—preferably a PhD—in a life sciences or related discipline, and a deep interest in applying AI and high-performance computing (HPC) to real-world scientific challenges.

In this role, you will act as a trusted advisor, collaborating closely with research teams, data scientists, and bioinformaticians to architect scalable AI and data solutions for complex scientific workloads—from genomics and molecular modeling to large-scale simulations and machine learning-driven drug discovery.

You’re welcome to work in our office in Amsterdam or remotely from any EU country.

Your Responsibilities Will Include:

Design tailored solutions for life sciences customers that meet both scientific and business objectives.
Guide researchers and technical stakeholders in leveraging Nebius infrastructure for AI/ML, HPC, and data-intensive workflows.
Build and maintain long-term, trust-based relationships with academic and scientific institutions.
Deliver technical presentations, write whitepapers, and host webinars/workshops for audiences across the spectrum of scientific expertise.
Collaborate with Nebius engineering and product teams to relay feedback from the scientific community and influence feature development.

We Expect You To Have:

PhD or equivalent research experience in bioinformatics, computational biology, cheminformatics, structural biology, or a related scientific field.
3+ years of experience with cloud technologies, preferably in MLOps, scientific computing, or AI/ML engineering roles.
Strong understanding of life sciences workflows (e.g., omics analysis, molecular dynamics, protein structure prediction, AI/ML in drug discovery).
Proven experience in distributed training or simulation workloads (multi-node, multi-GPU environments).
Hands-on knowledge of scientific computing libraries and ML frameworks such as PyTorch, JAX, or TensorFlow.
Excellent communication skills, especially in explaining technical concepts to scientific audiences.
Bonus Points
Experience deploying inference or simulation infrastructure in production or research environments.
Ability to transition scientific prototypes or pipelines from proof-of-concept to scalable production systems.
Familiarity with open-source tools and datasets commonly used in life sciences research.

Preferred Tooling:

Languages: Python, Go, C++, Java
Orchestration: Kubernetes (K8s), Slurm
DevOps Tools: Git, Docker, Helm
Infrastructure as Code: Terraform
ML & HPC Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Biopython, RDKit, Scikit-learn

What We Offer

Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Hybrid working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

","hiringOrganization":{"@type":"Organization","name":"Nebius","sameAs":"https://nebius.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Europe"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Search - Workchat - Senior Data Scientist","datePosted":"2025-09-18","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 Conversational Experiences team builds Elastic’s new conversational (agentic) platform that lets customers chat with their own data in Elasticsearch. We own the quality layer for RAG, agents and tools, retrieval/citations, streaming, memory, and—crucially—the evaluation signals that turn open-ended questions into grounded, reliable answers. As a Senior Data Scientist, you’ll be part of a cross-functional team (backend, DS, PM, UX) driving chat quality end-to-end: designing and running evaluation pipelines, improving prompts and tool behaviors, and turning measurements into product decisions that customers can feel.

You’ll help tackle frontier problems—folding RAG and vector search into an agent’s knowledge base, dynamically enriching model context to boost groundedness, shaping agent routing and tool selection policies, lighting up agent-driven visualizations on top of Elasticsearch data, and exploring multimodality and reasoning strategies where they truly move the needle. This is an applied role: you will prototype, evaluate, and partner with engineers to ship.

What You Will Be Doing:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

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:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

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:$133,100—$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900—$252,900 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.

","hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Search - Workchat - Senior Data Scientist","datePosted":"2025-09-18","description":"

What Is The Role:

What You Will Be Doing:

Design and maintain offline/online evaluation pipelines for conversational search: golden sets, rubric/LLM-as-judge calibration, groundedness/citation checks, and A/B tests.
Build and compare retrieval & re-ranking baselines (sparse + dense), query understanding, and semantic rewrites; land improvements with clear metrics.
Use results to drive product decisions: model selection, efficient agent routing, tool gating, and agent customization for Elastic use cases in search and beyond.
Instrument dashboards and telemetry so helpfulness, faithfulness, latency, and cost trade-offs are visible and trustworthy; guard against regressions in CI.
Collaborate tightly with backend engineers on contracts (ES|QL, citations, telemetry), and with PM/UX to translate findings into shipped features.
Share outcomes clearly (docs, notebooks, PRs) and mentor peers in experiment design and evaluation craft.

What You Will Bring:

5–8 years in applied DS/ML with strong IR/NLP experience (RAG, dense/sparse retrieval, re-ranking, vector search).
Proficiency in Python, PyTorch/Transformers, Pandas; reproducible experiments (e.g., MLflow), versioned datasets, and clean, reviewable code.
Hands-on evaluation expertise: offline metrics (nDCG/MRR/Recall@k), LLM-as-judge calibration, groundedness/citation scoring, and online A/B testing.
Experience turning experimental results into clear product calls (models, routing, tools) and communicating them crisply to cross-functional partners.
Practical Elasticsearch experience (or similar); ES|QL familiarity is a plus.
Comfort working in a distributed, async-first environment; strong written communication; low-ego collaboration.

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.

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

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

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. 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.

Please see here for our Privacy Statement.

","hiringOrganization":{"@type":"Organization","name":"Elasticsearch","sameAs":"https://www.elastic.co/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada; Greece; Spain; Sweden; United Kingdom","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Senior Data Scientist, Risk Data Mining - USDS","datePosted":"2025-09-18","description":"The USDS-Platform and Community Integrity (PaCI) team is missioned to:
\n- Protect U.S. TikTok users, including and beyond content consumers, creators, advertisers;
\n- Secure platform health and community experience authenticity;
\n- Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.
\n
\nThe PaCI team works to minimize the damage of inauthentic behaviors on TikTok platforms, covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security and financial safety, etc. In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure, and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to make quick and solid differences.
\n
\nIn order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
\n
\nResponsibilities:
\n- Build rules, algorithms and machine learning models, to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
\n- Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
\n- Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.","hiringOrganization":{"@type":"Organization","name":"TikTok","sameAs":"https://www.tiktok.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"(Senior) Data Scientist (m/f/d)","datePosted":"2025-09-18","description":"

At Machine Learning Reply Austria  we strive to work on leading-edge technology projects with our clients for which we are seeking Data Science consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready solutions.

We have a vast expertise in every step of the product implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies

Tasks

You are responsible for customised end-to-end solutions in the field of data science that cover the entire project cycle at the customer. Data architecture, infrastructure topics or quality assurance with machine learning algorithms are your passion.

Stay up to date on the cutting edge of technology and work together with market-leading technology companies
Be the point of connection between the technical team and management realising business needs
Identify and analyse problem solutions and discuss them with the customer.
Propose and discuss effective solutions and develop, optimise and deploy them into production
Develop state-of-the-art algorithms, implement them and automate workflows in an agile environment

What We Offer You:

We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.
Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
Very active group social program - including conference funding, team building, group events, Reply Exchange
Recognition for Innovation to foster your personal development
Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
Home-Office Contracts
State-Of-The-Art Work Equipment
Office space in downtown Vienna with access to Stammstrecke
Training and certification encouraged
Award winning office spaces for an excellent work experience
Public transport ticket within Vienna
Gym-membership subsidy for a gym of your choice
Flexible work environment between client, Reply office and remote work
We are looking forward to your completed studies in computer science, mathematics, physics or comparable
Solid experience with Python, JavaScript or Java

Requirements

Qualifications:

Excellent software engineering skills (algorithms and data structures, object-oriented programming, CI/CD, automated testing, optimisation and writing tidy code, etc.
Sound knowledge of machine learning and statistics, ideally with expertise in at least one of the relevant areas, e.g. NLP, recommender systems, time series, computer vision
Knowledge of cloud services from AWS or Azure, or alternatively experience with on-premise deployment
Experience in prioritising customer needs and creating solutions or applications which bring business value
Experience with agile development concepts like Scrum
Excellent German skills, good English skills, and willingness to travel if required by the project
What are you waiting for?
Join our team at Machine Learning Reply as a Data Scientist!

","hiringOrganization":{"@type":"Organization","name":"Machine Learning Reply","sameAs":"https://www.reply.com/machine-learning-reply/de/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna, Wien, Austria","addressCountry":"Austria","addressRegion":"Europe"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Senior Data Scientist","datePosted":"2025-09-18","description":"

Description

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.

As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent Voyantis in high-stakes conversations with customers. You’ll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.

About Us

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 70 with offices in California, New York and Tel Aviv.

Responsibilities

Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent Voyantis in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

Requirements

M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
6+ years of hands-on data science experience, including direct work with lifecycle marketing, personalization, or customer analytics.
Advanced expertise in statistics, causal inference, and experimental design.
Proven track record of implementing reinforcement learning / multi-armed bandit models in production.
Strong software engineering skills in Python, SQL, and ML frameworks
Exceptional communication skills — able to influence internal teams and present to executive-level customers.
Entrepreneurial mindset: thrives in uncertainty, challenges assumptions, and pushes for impactful solutions.

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Company Description

About Grab and our workplace

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

Grab的数据科学团队负责研发数据挖掘、机器学习、深度学习、运筹优化算法、模型和平台，优化每一个用户的体验和平台的运营效率。

现诚招资多名大语言模型后训练方向的高级算法科学家，在推理、多模态、多语言、智能体等重点领域内进行模型研发和应用开发工作。应用落地场景包括风控、客服、个性化、内部流程自动化等。

团队在跟踪最新的技术进展的基础上会设计创新的解决方案，完成端到端的技术实现和系统迭代、为产品和业务创造价值。

岗位职责：

大模型的后训练与优化，包括微调、低资源训练、蒸馏、性能评估等；
领域数据的收集、清洗、标注及增强；
探索后训练在推理模型、多模态、多语言、智能体等领域的技术研发；
在面向用户业务场景和内部流程效率提升场景下的应用落地，包括风控、客服、个性化、等场景；
以文档、专利、原型、产品上线等多种方式呈现和展示技术成果；
积极参与业务和产品规划。

Get to know the team

The data science team develops data mining, machine learning and various algorithms to optimize user experience and the efficiency of the platform.

Get to know the role

We are currently seeking several Senior Data Scientists in the field of large language model post-training to join our team.

The roles involve research and development in key areas such as reasoning, multi-modality, multi-lingual and agents. Application areas include risk & safety, customer support, personalization and internal productivities.

The team will track the latest technological advancements, design innovative solutions, carry out end-to-end system deployment, and generate value for the businesses.

Responsibilities:

LLM post-training and optimization, including fine-tuning, low-resource training, distillation, and performance evaluation.
Domain-specific data collection, generation, cleaning, labeling, and augmentation.
Develop technology and systems to post-train reasoning models, multimodal models, multi-lingual models and agents.
Application deployment in user-facing product experience and internal productivity scenarios, such as risk control, customer support, personalization and others.
Present and demonstrate technical achievements through documents, patents, prototypes, and product launches.
Actively participating in business and product planning.

Qualifications

任职要求：

在计算机、人工智能相关领域取得硕士以上学历；
具备扎实的机器学习、深度学习理论基础，对大模型以及相关技术领域有深入理解；
具备大模型后训练、微调的实际经验，熟练掌握并灵活应用SFT、DPO等技术；
具备清洗、标注、生成处理大量训练数据的经验；
具备基于大模型的应用开发部署上线的经验；
熟练掌握Python语言，熟练使用主流深度学习框架；
优秀的书面和口头沟通能力，并具备良好的英语沟通能力；
对技术产品化和商业化有浓厚的兴趣。

加分项（任一项）：

开源社区参与和贡献经验；
顶级会议上论文发表经历；
端到端应用落地经验；
良好的技术大局观和业务理解能力

Requirements:

Master's degree or higher in computer science, artificial intelligence, or a related field.
Solid theoretical foundation in machine learning and deep learning, with in-depth understanding of large models and related technical domains.
Experience in large model post-training and fine-tuning, proficient in applying techniques such as SFT and DPO.
Experience in cleaning, labeling, and generating large amounts of training data.
Experience in developing, deploying, and launching applications based on large models.
Proficiency in Python and mainstream deep learning frameworks.
Excellent written and verbal communication skills, and good English communication skills.

Really Nice To Haves:

Experience in participation and contribution to open-source communities;
Publication experience at top conferences.
Experience in end-to-end LLM application deployment.
Good technical strategic sense and strong business acumen.

Additional Information

Life At Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

We have your back with Term Life Insurance and comprehensive Medical Insurance.

With GrabFlex, create a benefits package that suits your needs and aspirations.

Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave

We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Willkommen bei der Allianz

Digitalisierung, Daten und Künstliche Intelligenz sind zentrale Themen in allen Unternehmensbereichen der Versicherungen. Die Allianz entwickelt daher neue Expertise, Prozesse und Infrastruktur, um das Potenzial dieser Bereiche optimal zu nutzen. Als Data Scientist (m/w/d) im Tribe Leistung arbeitest Du im Zentrum dieser bedeutenden Zukunftsfelder unserer Branche. Dein Einsatzort wird Unterföhring bei München sein.

Unser Tribe Leistung hat das Ziel, unseren Kundinnen und Kunden den besten Service in Vorsorge und Beratung zu bieten und im Leistungsfall durch eine schnelle und effiziente Bearbeitung ihrer Anliegen zu überzeugen. Dabei haben wir es uns zum Ziel gesetzt durch den Einsatz von neuen Technologien wie beispielsweise Generative AI die Prozesse im Bereich Kranken grundlegend zu modernisieren.

Unser Anspruch ist es skalierbare Lösungen zu entwickeln, die künftiges Kundenwachstum ermöglichen. Neben spannenden und innovativen Themen fördern und fordern wir Dich und Deine Entwicklung in einer der Kerneinheiten der Allianz Privaten Krankenversicherungs-AG!

\n\n

Das erwartet Dich bei uns als Senior Data Scientist (m/w/d)

Digitalisierungsvision: Du gestaltest aktiv die Zukunft der Digitalisierung gemäß unserer Vision und arbeitest mit Deinem Team an den Projektzielen.
Agilität: Im agilen Projektumfeld erarbeitest Du gemeinsam mit fachlichen Experten unter Verwendung von Generative AI und/oder Large-Language Modellen datengetriebene Lösungen und setzt diese in Abstimmung mit der IT um.
Systemintegration: Du sorgst für reibungslose Integration der neuen Lösungen in bereits bestehende Systeme und Prozesse.
Datenanalyse: Darüber hinaus nutzt Du Analytics-Lösungen, um Daten zu analysieren und aufzubereiten sowie die Ergebnisse gegenüber dem Management und anderen Bereichen zu kommunizieren.
Technologievorantreiben: Gemeinsam mit Deinem Team treibst du die Nutzung von modernen Technologien voran und behältst dabei einen stabilen und performanten Anwendungsbetrieb im Fokus.

\n\n

Das bringst Du mit als Senior Data Scientist (m/w/d)

Akademischer Hintergrund: Du hast Dein Hochschulstudium in Data Science, Mathematik, Informatik, Statistik oder einem verwandten Bereich mit sehr guten Leistungen abgeschlossen.
Berufserfahrung: Du konntest bereits mehrjährige relevante praktische Erfahrung als Data Scientist (m/w/d) oder in einer vergleichbaren Rolle sammeln.
Programmierkenntnisse: Du bringst nachweislich tiefergehende Erfahrungen in der Programmierung und Datenanalyse in Python (und/oder R) mit. Dabei achtest Du auf sauberen sowie wartbaren Code und hast einen hohen Anspruch an die Codequalität. Die Nutzung von Programmiersprachen wie SQL oder bash bereitet Dir keine Schwierigkeiten.
GenAI Expertise: Du hast Dir GenAI Wissen in den folgenden Bereichen bereits aufgebaut
Arbeiten mit LLMs (z.B. GPT, Claude Gemini, Llama oder vergleichbaren Modellen)
Arbeiten mit Embedding Modellen
Integration von GenAI-Modellen in skalierbare Lösungen
Entwicklung von LLM-Inferenzen (Prompt Engineering)
Aufbau von RAG-Systemen (Retrieval-Augmented Generation)
Testen und Validieren von GenAI-Lösungen
Implementierung von Agent-Systemen.
Analytische und Kommunikationsstärke: Du verfügst über ausgeprägte analytische und konzeptionelle Fähigkeiten sowie Abstraktionsvermögen, und kannst komplexe Sachverhalte zielgruppengerecht und strukturiert aufbereiten und präzise zwischen verschiedenen Stakeholdern vermitteln.
Professionelles Auftreten und Sprachkompetenz: Du überzeugst durch sehr gute kommunikative Fähigkeiten, ein sicheres und professionelles Auftreten, bist neugierig und an Deiner persönlichen Entwicklung interessiert, hast Lust, aktiv mitzugestalten und bewegst Dich sicher in deutscher und englischer Sprache.

\n\n

Unsere Highlights für Dich

Gesundheit & Wohlbefinden: Eine betriebliche Krankenversicherung, Sport- und Gesundheitsangebote sowie Präventionsmaßnahmen legen den Grundstein für körperliche und mentale Gesundheit.

Vergütung: Tarifliche Sonderzahlungen, betriebliche Altersvorsorge, vermögenswirksame Leistungen und Mitarbeiteraktien machen die Vergütung besonders attraktiv. Außerdem werden Mitarbeiter am Unternehmenserfolg beteiligt.

Zeit & Flexibilität: Mit unserem Modell „Neues Arbeiten“ können Beruf und Privatleben noch besser vereinbart werden. Wir arbeiten flexibel, hybrid, mobil und vor Ort.

Karriereentwicklung: Wir erstellen gemeinsam einen persönlichen Entwicklungsplan und ermöglichen, funktions- und länderübergreifende Erfahrungen zu sammeln.

Eine vollständige Übersicht darüber, was uns als Arbeitgeber attraktiv macht, ist unter careers.allianz.com/benefits zu finden.

\n\n

Besetzungstermin: schnellstmöglich

\n\n

Haben wir Dein Interesse geweckt und klingt das nach einem Umfeld, in dem Du gerne arbeiten würdest?

Dann bewirb Dich jetzt als Senior Data Scientist (m/w/d) online auf unserer Karriereseite - careers.allianz.com.

\n\n

Bei fachlichen Fragen stehen Dir Frau Andrea Hübner unter ANDREA.HUEBNER1@ALLIANZ.DE sowie bei Personalfragen Deine Recruiterin Cintia Malnis unter cintia.malnis@allianz.de zur Verfügung

\n\n

Hinweis: Die Allianz in Deutschland hat ein internes Rekrutierungsteam, das sich auf die direkte Suche nach hervorragenden Kandidat:innen konzentriert. Es werden keine unaufgeforderten Bewerbungen von Vermittlungsagenturen oder Personalvermittlungsfirmen akzeptiert.

Seit 1890 setzt sich die Allianz als weltweit führender Versicherer, Finanzdienstleister und Vermögensverwalter für die Sicherheit unserer Kund:innen und Mitarbeitenden ein. Darüber hinaus sind wir ein ausgezeichneter Arbeitgeber: 2024 wurde die Allianz in Deutschland Preisträger bei Great Place to Work „Deutschlands Beste Arbeitgeber“. Unsere Mitarbeitenden liegen uns am Herzen, und gemeinsam schaffen wir eine bessere Lebenswelt und Zukunft für uns und unsere Kund:innen.

\n\n

Die Allianz Private Krankenversicherungs-AG ist einer der größten Ärzteversicherer in Deutschland und der drittgrößte Anbieter auf dem privaten Versicherungsmarkt. Werde Teil des Teams und bereichere uns mit deiner Persönlichkeit. Let’s care for tomorrow.

\n\n

Die Allianz Gruppe ist eines der weltweit führenden Versicherungs- und Vermögensverwaltungsunternehmen. Wir kümmern uns um unsere Mitarbeitenden, ihre Ziele, Träume und Herausforderungen und machen uns dadurch zu einem einzigartigen Arbeitgeber. Gemeinsam schaffen wir ein Umfeld, in dem sich jeder unterstützt fühlt und das Selbstvertrauen hat, Neues zu entdecken, sich zu entwickeln und eine bessere Zukunft zu gestalten, für unsere Kundinnen und Kunden und die Welt um uns herum.

Bei der Allianz stehen wir für Zusammenhalt: Wir glauben, dass eine geeinte Welt eine zukunftsfähige Welt ist, und setzen uns konsequent für Chancengleichheit für alle ein. Die Grundlage dafür ist unser inklusiver Arbeitsplatz, an dem sowohl Mensch als auch Leistung zählen und eine Kultur gepflegt wird, die auf Integrität, Fairness, Inklusion und Vertrauen basiert.

Wir freuen uns über Bewerbungen von Menschen aller ethnischen und kulturellen Hintergründe, Altersgruppen, Geschlechter, Nationalitäten, Religionen, sozialen Herkünfte, Menschen mit oder ohne Behinderung sowie unterschiedlicher sexueller Orientierung und anderer durch lokale Gesetze und Vorschriften geschützter Merkmale.

\n\n

Join us. Let's care for tomorrow.

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