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Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
\nOur vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

We are looking for a Principal Engineer Software to be a part of the group that owns our multi-cloud data pipelines that ingest, process, stream & store multi-tenant data at Petabyte scale for use by AI/ML applications in our industry leading cybersecurity products.

Your Impact

You will tackle new and challenging problems in building a new generation of highly scaled data processing and analytics systems for use in AI-powered use cases
You will collaborate with cross-functional teams to address complex technical challenges and drive innovation
You will ensure the adoption of best practices in code quality, scalability, and system design among team members
You will contribute in the architecture, design, and development of features
You will work with DevOps and Technical Support teams to investigate and resolve critical customer defects

Qualifications

Your Experience

BS in Computer Science, equivalent knowledge, or equivalent military experience required
5+ years of software engineering experience required
Coding experience in Java at your current job required
Experience in designing, coding, and maintaining systems built with scalable distributed systems architecture required
Experience with one or more cloud platforms such as AWS or GCP and their services (DataFlow, BigQuery; Athena, etc.) and Kubernetes preferred
Experience with a variety of database technologies (Mysql, Cassandra, ElasticSearch, etc)

Additional Information

The Team

Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $173,000 - $237,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

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Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

Job Description

Essential Duties And Responsibilities:

The Principal Engineer for Data Analytics in HGA Manufacturing Engineering will lead data-driven initiatives to optimize manufacturing processes, improve quality, and enhance efficiency within HGA production. This role is crucial for developing and implementing advanced analytics strategies, interpreting complex data sets, and providing actionable insights to support decision-making in HGA manufacturing.

As an expert on data analytic for HGA operation to support since ad hoc data gathering, data analysis, data visualization and create effective data analysis platform for fast and precise responding to special and routine requirement
Design, develop, and implement custom software tools and applications for data analytics strategies that align with HGA manufacturing goals and key performance indicators (KPIs).
Collaborate with engineering and production teams to define software requirements, user interfaces, and functionalities tailored to manufacturing needs.
Analyze production data to identify trends, patterns, and anomalies that impact HGA yield, quality, and cycle time including defect and failure data to identify and mitigate recurring issues.
Create predictive models to forecast manufacturing outcomes and provide proactive recommendations for process adjustments.
Lead cross-functional data analytics projects from conception through to implementation, ensuring alignment with manufacturing engineering and business goals.
Develop and implement process improvements and data-driven solutions to optimize manufacturing yield, reduce waste, and increase efficiency.
Lead root cause analysis of manufacturing issues using statistical techniques with actionable insights to engineering and production teams.

Qualifications

Required:

Bachelor’s degree or higher in Software Engineering, Data Science, Computer Science/Engineering, or a related field
5+ Years experience in data science, data analytic or related field
Knowledge on software development languages (Python/R coding, Java, C++), database management (SQL, NoSQL), data analytics tools, and data visualization platforms.

Preferred:

Eager on learning and self-development
Experience in electronics or HDD industry

Skills:

Project management abilities,
Problem-solving,
Cross-functional collaboration

Additional Information

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying

#Li-Sw1

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email compliance@wdc.com.

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Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Who We Are

Job Description

Your Career

We are looking for motivated, smart, hardworking and passionate individuals to join the Next-gen Firewall dataplane team as a Software Engineer. You will be part of a world-class software engineering team that works on various cutting-edge technologies for the firewall.

As a member of a data plane networking software group, you will be responsible for designing and developing the next-generation firewall core operating system and applications. You will take ownership for large software components, work with product management on real life customer requirements, apply your knowledge to functional design, utilize your programming skills for efficient and robust implementation, and interact with quality assurance and field support teams in the whole software development cycle. The culture at Palo Alto Networks is creative, dynamic and inspiring to tackle real work cyber-attacks.

Your Impact

Responsible for the development of the critical dataplane and network/routing components for the State-of-the-art Next Generation Firewalls deployed at Enterprise, Data Center, Cloud, and Service Provider environments
Design & Develop L2-L4 network security features
Develop network security high availability service infrastructure products
Support critical customer escalations and provide root cause analysis in a timely manner;
Work with multi-functional team members on user requirements, including but not limited to Product Management, QA, Support, etc.
Effective decision maker, take ownership and independently drive, lead tasks and assignments

Qualifications

Your Experience

Strong in-depth C Programming experience
Strong experience in large scale software development on Unix/Linux.
Multi-core and Multi-threading programming experience is a MUST
In-depth knowledge in networking, especially in L2, L3, L4 protocols such as IPv4, IPv6, TCP, UDP is a MUST
Strong technical knowledge in computer architecture and systems engineering
Experience in routing protocols (BGP, OSPF, Multicast etc) is desired.
Strong experience in developing & debugging packet processing, parsing, networking (L1-L7) protocols/architecture
Experience in data plane forwarding and any network processor programming
Can-do attitude and ability to take initiative and drive open issues to completion
Strong communication skills to work effectively with multi-functional groups
Desired Python, Shell script programming skills
BS/MS degree in Computer Science/Engineering or equivalent experience

Additional Information

The Team

Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $200,000 - $225,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The individual will be part of VCA’s geographic cluster covering Singapore, Malaysia, and Thailand (SMT) markets, with primary responsibility for leading data science engagements with Visa’s clients in Singapore. This role combines deep data science expertise with strong domain knowledge, proven ability to build trusted relationships with senior stakeholders and clients, and a solutions‑oriented, consultative approach to delivery — all aimed at driving measurable business impact and supporting revenue growth.

Specific Responsibilities Include:

Collaborate with business leaders, internal stakeholders, consulting and client teams to understand business needs , identify strategic areas where data and AI/ML can drive strong business impact, in alignment with organization priorities
Act as the market linchpin between local country team and regional data teams to elevate go-to-market approach for delivering solutions
Partner with clients to identify opportunities for AI adoption, shaping solution strategies that align with business priorities and industry trends
Act as a trusted advisor, presenting AI capabilities and emerging technologies in a clear, compelling way to both technical teams and business decision-makers
Drive thought leadership in AI innovation, including Agentic AI and cutting-edge trends, and assess their applicability for client contexts
Mentor and lead data science teams, ensuring delivery excellence, technical skill development, and alignment with industry best practices and regulatory frameworks
Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications

12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, Business Analytics, or a related field
12+ years of demonstrated industry experience in analytics, with a proven track record in delivering end-to-end AI/ML projects across diverse industries, with demonstrated impact on business outcomes
Strong proficiency in data analysis, statistical modelling, and advanced analytics techniques, familiarity with cloud platforms (AWS, GCP, Azure) and data visualization tools (Tableau, Power BI, etc.)
Expertise in advanced AI and emerging trends (agentic AI, generative AI, autonomous decision systems), with practical experience applying them in regulated financial environments
Demonstrated ability to design and deliver AI‑driven solutions for banking and financial institutions, addressing critical areas such as customer engagement, fraud prevention, credit risk assessment, compliance automation or customer experience
Strong consultative and client-facing skills, with the ability to bridge technical expertise and business value
Experience leading cross-functional teams and driving projects/initiatives in collaboration with business stakeholders
Executive presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations
Collaborative mindset with the ability to mentor and guide junior team members

Also Preferred

Strong understanding of model governance, explainability, and regulatory compliance in financial services AI applications
Strong understanding of payments and banking industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant
In-market experience and/or knowledge of regulation and industry trends

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Key Responsibilities:

Serve as the senior-most engineering leader across Financial and Risk & Compliance technology teams, providing strategic direction on systems design, cloud architecture, and engineering execution.
Architect and implement robust, scalable, secure, and high-performance platforms and services in alignment with compliance and regulatory frameworks.
Drive end-to-end technical leadership across complex domains such as financial ledgers, AML/KYC systems, risk scoring engines, and data platforms.
Lead solutioning efforts on high-impact cross-cutting initiatives with significant business visibility and impact.
Collaborate with senior product, risk, compliance, and enterprise architecture partners to align technology roadmaps and long-term vision.
Mentor senior engineers and architects across teams, encouraging a culture of engineering excellence, innovation, and continuous learning.
Evaluate emerging technologies and industry trends to influence platform strategies and technology investments.
Translate complex technical issues and system interdependencies into clear narratives for executive collaborators.

Core Technical Skills:

Deep expertise in system design, cloud-native architecture, and enterprise-level engineering standard methodologies.
Advanced knowledge of cloud platforms (AWS, GCP, or Azure), microservices, event-driven architecture, and containerization.
Strong hands-on development experience in technologies such as Java, JavaScript/Node.js, Kafka, Vert.x, RESTful APIs, ElasticSearch, Couchbase, Postgres, and distributed databases.
Proficiency in CI/CD, DevOps, observability, performance tuning, and scalable systems design.
Familiarity working within regulatory compliance frameworks such as SOX, PCI, and FFIEC, and their downstream implications.
Experience navigating financial systems (e.g., accounting, reconciliation, ledger services) and risk & compliance platforms (e.g., AML, KYC, fraud detection).

Leadership & Strategic Skills:

Executive-level communication with a strong ability to influence at all organizational levels
Critical thinking with the ability to connect long-term vision to pragmatic execution.
Collaborative leadership style that thrives in multi-functional, matrixed environments.
Outstanding problem-solving and decision-making capabilities, balancing technical trade-offs with business impact.
Proven experience in mentoring and growing senior engineering talent and building strong engineering culture.
Ability to manage through ambiguity and drive clarity on complex initiatives.
Excellent written and verbal communication skills and judgement.

Minimum Qualifications

10+ years of engineering experience with a focus on architecture, cloud infrastructure, and enterprise-scale platforms.
Demonstrated success in leading architecture and engineering for complex, regulated environments—ideally within financial services, risk, or compliance domains.
High level of hands-on development experience and ability to contribute at both strategic and tactical levels.
Experience working in Agile and Dev/Sec/Ops environments
Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Preferred Qualifications

Master's Degree in Computer Science, Software Engineering, or related field.

Minimum Qualifications

Salary Range: $220,000.00 to $320,000.00 annually + bonus + equity (if applicable) + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

Job

Executive

Primary Location

US-Arizona-Phoenix

Other Locations

US-New York-New York, US-Florida-Sunrise, US-Georgia-Atlanta

Organization

A6566 - Global Servicing Tech

Schedule

Full-timeJob Band 45Work Location Options Hybrid

Job Posting

Sep 22, 2025, 7:11:34 PM - Sep 30, 2025, 3:59:00 AM

Recruiter

Bryan Moschel

Hiring Manager

Rick Ballmann","hiringOrganization":{"@type":"Organization","name":"American Express","sameAs":"https://www.americanexpress.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US-Arizona-Phoenix","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Consultant in Data Science","datePosted":"2025-09-23","description":"

Company Description

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Job Description

As a consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives:

Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...)
Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models
Big Data : Algorithmic knowledge for large and unstructured data processing

You will get the opportunity to actively contribute to Sia's internal activities:

Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges
Business development, by contributing to need definition and participating in our commercial initiatives

Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company.

In Return, You Can Expect:

An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged
A personal development plan with a regular follow-up as well training opportunities to develop yourself
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...

Qualifications

University Master Civil Engineer (applied mathematics, IT or similar)
0 to 3 years’ experience as a consultant
Outstanding team player with great interpersonal and communication skills
Strong interest in data science and related sectors such as Energy and Finance
Analytical mind, exploring options and able to synthesize into conclusions
Dynamic, result oriented, rigorous and committed
Trilingual: French, Dutch and English
Prepared to participate in temporary assignments abroad

Additional Information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

","hiringOrganization":{"@type":"Organization","name":"Sia","sameAs":"https://www.sia-partners.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brussels, Belgium","addressCountry":"Belgium","addressRegion":"Europe"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Consultant in Data science","datePosted":"2025-09-23","description":"

Company Description

Job Description

As a Senior consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives:

Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...)
Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models
Big Data : Algorithmic knowledge for large and unstructured data processing

You will get the opportunity to actively contribute to Sia’s internal activities:

Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges
Business development, by contributing to need definition and participating in our commercial initiatives

As fast as possible, you will take up team leadership roles and connect with colleagues of all levels.

Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company.

In Return, You Can Expect:

An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged
A personal development plan with a regular follow-up as well training opportunities to develop yourself
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...

Qualifications

University Master Civil Engineer (applied mathematics, IT or similar)
2 to 6 years’ experience as a consultant
Outstanding team player with great interpersonal and communication skills
Strong interest in data science and related sectors such as Energy and Finance
Analytical mind, exploring options and able to synthesize into conclusions
Dynamic, result oriented, rigorous and committed
Trilingual: French, Dutch and English
Prepared to participate in temporary assignments abroad

Additional Information

We are unable to provide a work permit for this position

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

","hiringOrganization":{"@type":"Organization","name":"Sia","sameAs":"https://www.sia-partners.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brussels, Belgium","addressCountry":"Belgium","addressRegion":"Europe"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Principal Engineer Software","datePosted":"2025-09-23","description":"

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Who We Are

Job Description

Your Career

You will be responsible for the design, development and test of a scalable distributed management plane infrastructure software and features that runs as the core OS for all of Palo Alto Networks’ next-generation network and cloud security solutions.

Your Impact

Work from start to finish on product design, starting with conceptualization through to implementation and deployment
Actively participate and collaborate with team members to develop next-generation software architecture for Security platforms
Innovate, scope and deliver new management features based on customer, partner, and technical support feedback
Design and develop highly scalable management infrastructure software for managing devices at scale in hybrid (on-prem & cloud) deployments
Take ownership and work with product management, development and quality assurance groups in a fast-paced environment
Work seamlessly with Cloud Services and on-prem engineering teams to provide state-of-the-art security solutions and infrastructure
Troubleshoot changes to the product to ensure high quality output of product design

Qualifications

Your Experience

MS/BS in Computer Science or Equivalent with 12+ years of experience in backend development
Experience developing on a Linux Platform.
Excellent programming skills in C/C++, Python or Golang. Shell scripting is a plus
Experience with large scale management infrastructure in a distributed appliance deployment with high availability.
Strong work experience and knowledge in distributed systems development on linux operating systems.
Network and/or Security appliance/solution development experience is a big plus
Strong experience in SQL/NoSQL databases like mongo.
Experience in libxml in handling large XML data sets is a big plus.
Must be a self-starter with the ability to architect and deliver large complex solutions

Additional Information

The Team

You’ll be working in a top-tier cybersecurity company and collaborating with some of the brightest minds in technology. Our team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

All your information will be kept confidential according to EEO guidelines.

","hiringOrganization":{"@type":"Organization","name":"Palo Alto Networks","sameAs":"https://www.paloaltonetworks.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Manager Data Science for Pune","datePosted":"2025-09-23","description":"

Data Science: Manager

Experience: 10+ years

Requirement:

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 9+ years of relevant experience in Generative AI and NLP
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches
Should have experience of overseeing multiple projects and handling client communication.
Strong programming experience (at least 6+) in advanced Python including OOPs
Should have extensive experience in Machine Learning / forecasting (working, finetuning and evaluation)
Strong in GenAI and NLP: \n
Experience of working on AWS
Should be able to create APIs for backend
Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation
should have led large AI engagements
Extensive experience in retrieval augmented generation and strong grasp in agents
Should have good understanding of transformer architecture and traditional NLP
Should have strong agentic experience

\n\n

Data Science: Manager

Experience: 10+ years

Requirement:

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 9+ years of relevant experience in Generative AI and NLP
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches
Should have experience of overseeing multiple projects and handling client communication.
Strong programming experience (at least 6+) in advanced Python including OOPs
Should have extensive experience in Machine Learning / forecasting (working, finetuning and evaluation)
Strong in GenAI and NLP: \n
Experience of working on AWS
Should be able to create APIs for backend
Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation
should have led large AI engagements
Extensive experience in retrieval augmented generation and strong grasp in agents
Should have good understanding of transformer architecture and traditional NLP
Should have strong agentic experience

\n\n

Data Science: Manager

Experience: 10+ years

Requirement:

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 9+ years of relevant experience in Generative AI and NLP
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches
Should have experience of overseeing multiple projects and handling client communication.
Strong programming experience (at least 6+) in advanced Python including OOPs
Should have extensive experience in Machine Learning / forecasting (working, finetuning and evaluation)
Strong in GenAI and NLP: \n
Experience of working on AWS
Should be able to create APIs for backend
Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation
should have led large AI engagements
Extensive experience in retrieval augmented generation and strong grasp in agents
Should have good understanding of transformer architecture and traditional NLP
Should have strong agentic experience

\n","hiringOrganization":{"@type":"Organization","name":"KPMG India","sameAs":"https://kpmg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Principal Engineer","datePosted":"2025-09-23","description":"\n

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

\n\n

Role Accountabilities:

Promote and role model Arcadis Health and Safety Principles during the planning and delivery of work.
Perform role in accordance with the Arcadis behavioral framework.
Work alongside team leadership.
Promote the culture of the business.
Manage and take accountability for the performance and behaviors of more junior staff.
Work collaboratively with related design disciplines within an agreed engineering management environment to ensure the integration of the overall design or solution.
Maintain strong working relationship with senior staff in Arcadis GECs and regional offices and understand the wider company perspective.
Develop and maintain a good understanding of the services delivered by Arcadis, and the industry sector to facilitate personal networking and to consolidate personal credibility in the company.
Oversee an agreed scope of work and the operational workload of a team ensuring work is allocated appropriately and resources are fully utilized.
Manage the performance of team members identifying and ensuring the resolution of any issues.
Develop, present and gain agreement for design options and opportunities to maximize the profitability of
design components and drive the implementation of these.
Provide technical advice to team members, to support them in their delivery on the project and in their professional development.
Ensure effective financial and management controls are in place and deployed to enable monitoring, modification and forecasting of Arcadis GEC tasks as appropriate.
When appointed in the role of a Task Manager, drive project performance, service delivery and technical and commercial outcomes and undertake regular reviews, ensuring delivery is above expectation.
When appointed in the role of a Task Manager, communicate with team members to ensure that they understand, and become engaged with, the project strategy, brief and requirements.
Participate in development of technical proposals for Pursuit to Win activities led by regional office staff Provide specialized technical input to studies and design for staff's specific area of expertise.
Provide technical leadership to the team and more junior staff.
Take accountability for the quality of work completed by the team Work collaboratively with other design disciplines to ensure the integration of the overall design or solution.
Undertake verification checking of elements of work with higher complexity Manage the production and quality of designs and associated documentation and reports to ensure that they meet or exceed expectations as well as Arcadis requirements, and that they comply with national standards and codes of practice.
Lead interdisciplinary reviews of deliverables on behalf of engineering discipline.
Support the Business Unit Leader in the commercial management of the business unit (e.g. cost to complete, resource planning etc.) to ensure a successful result.
Manage quality assurance and feedback from Arcadis’ regional offices ensuring effective communication of any change/modifications.
Develop effective working relationships with the Project Director or Managers in Arcadis’ regional offices to ensure effective communication of progress and changes, as well as the resolution of issues.
Prepare a development plan with your line manager during the Professional Development Review process and take ownership of achieving the goals identified within this plan.
Present complex technical solutions to Arcadis regional office staff.
Keep up to date with developments in the industry sector and with technical and legislative developments and seek out opportunities to develop a strong professional profile.
Comply with Arcadis General Business Principles and Specific Anti-Corruption Standards.

\n\n

Qualifications & Experience:

Master’s degree in engineering or equivalent and formally licensed to act as a professional engineer (if required in their Arcadis GEC country).
PEng Canada would be advantageous.
Looking for candidates with minimum 10 years of relevant experience.
Able to lead and provide direction and technical advice to team members, to support them in their delivery and in their professional development.
Able to identify the limits of both their personal knowledge and skills the limits of their team's skill and knowledge.
Capable of exercising sound holistic independent judgement and take responsibility and accountability for their own performance and that of junior team members.
Able to understand and comply with the Code of Conduct operated by professional institution.
Engage with activities promoted by professional institution.
Demonstrate appropriate professional standards, recognizing obligations to society, the profession and the environment.
Exercise responsibilities in an ethical manner.
Communicate well with others at all levels including effective use of English orally and in writing.
Discuss ideas and plan competently and with confidence.
Effective personal and social skills.
Able to manage diversity issues.
Technical ownership of safe design processes which consider safety during construction, operation and decommissioning through the use of hazard identification and risk assessment during design development.
Sound knowledge of legislation, hazards and safe systems of work.
Understand how to manage health, safety and welfare within own area of responsibility.
Experienced in leading, and working with, people from varied disciplines, backgrounds and cultures, Plan for effective project implementation.
Manage the planning and organization of tasks, people and resources.
Manage teams and develop staff to meet changing technical and managerial needs.
Manage quality processes.
Excellent task management, stakeholder relationship management and commercial skills at a level expected of a professional person.
Thorough understanding of one or more sectors within the business.
Maintain and extend a sound theoretical approach to the application of technology in engineering practice.
Ability to use a sound evidence-based approach to problem solving and be able to contribute to continuous improvement.
Able to operate reliably, independently and competently in a specialist discipline Able to identify, review and select techniques, procedures and methods to undertake engineering tasks.
Capable of contributing to the design and development of engineering solutions.
Ability to implement design solutions and lead their evaluation.
Able to provide input to estimates for the engineering budget and schedule and to oversee technical resources to meet requirements on large, straightforward projects.
Able to use sound knowledge of statutory and commercial frameworks within own area of responsibility and have an appreciation of other commercial arrangements.
Sound knowledge of sustainable development best practice.
Manage engineering activities that contribute to sustainable.

\n\n

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.

\n","hiringOrganization":{"@type":"Organization","name":"Arcadis","sameAs":"https://www.arcadis.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Principal Engineer, ASIC Development Engineering (Test Automation)","datePosted":"2025-09-23","description":"

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

Key Responsibilities:

Automation of ASIC Development Flows
Pre-Silicon Emulation and FPGA Prototyping Automation : Automate pre-silicon emulation and FPGA prototyping flows, including setup, execution, and analysis.
Develop and maintain automation frameworks for ASIC development flows, including synthesis, simulation, and verification.
CI/CD Pipeline Development : Develop and maintain CI/CD pipelines using Jenkins, Git, and other SCM tools.
Automation Framework Development*: Develop and maintain automation frameworks for pre-silicon and post-silicon development environments.
Integration with DevOps Tools : Integrate automation frameworks with DevOps tools, such as Jenkins, Git etc.
AI Capability Integration : Integrate AI capabilities into automation frameworks to improve productivity and efficiency to ASIC development flows.
Collaboration with Development Team : Work with development teams to build self-service build tools and reusable deployment jobs.

Technical Requirements:

DevOps : Knowledge of DevOps principles and experience working with IT teams to develop, integrate, and deploy test automation infrastructure.
ASIC Flows : Knowledge of ASIC development flows and pre-silicon platforms development flows.
FPGA/Emulation Hardware : Experience with FPGA hardware, Emulation Hardware & Bring Up to speed up automation framework to improve productivity & efficiency.
Digital Design : Experience with FPGA-based prototyping development & Emulation Infrastructure to help automate from design porting, simulations to design DB deployment in an FPGA & Emulator FARM Infrastructure.
Programming Languages : Strong experience in Python, C/C++, Shell/Bash, and other scripting languages.
Automation Tools : Experience with automation tools, such as Selenium Web automation, Django, and dashboards.
CI/CD Tools : Experience with CI/CD tools, such as Jenkins, Git, and other tools.

Qualifications

Preferred:

Experience in ASIC/Firmware/Embedded Environments : Experience working in ASIC, firmware, or embedded environments.
Knowledge of ASIC Tools : Knowledge of ASIC tools and pre-silicon platform tools.
Knowledge of Protocol Analyzers : Knowledge of protocol analyzers and measurement equipment.
Experience with SoC/Microcontrollers/Microprocessors : Experience working with System on Chip, microcontrollers, microprocessors, or FPGA boards.

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

","hiringOrganization":{"@type":"Organization","name":"Sandisk","sameAs":"https://www.sandisk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, KA, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Data Science Lead - Visa Consulting and Analytics, Thailand","datePosted":"2025-09-23","description":"

Company Description

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Team Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The data science team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Job Description

The individual will be part of VCA’s geographic cluster covering the Singapore, Malaysia, and Thailand (SMT) markets, with primary responsibility for leading data science engagements with Visa’s clients in Thailand. This role combines deep data science expertise with strong domain knowledge, proven ability to build trusted relationships with senior stakeholders and clients, and a solutions‑oriented, consultative approach to delivery — all aimed at driving measurable business impact and supporting revenue growth.

Specific Responsibilities Include:

Collaborate with business leaders, internal stakeholders, consulting teams, and client teams to understand business needs and identify strategic areas where data and AI/ML can deliver strong business impact, in alignment with organizational priorities.
Serve as the market linchpin between the local country team and regional data science teams, enhancing the go-to-market approach for delivering Visa data solutions.
Design and lead holistic data science initiatives to drive innovation, accelerate new solution launches for Thailand clients, and create offerings aligned with business strategy.
Partner with clients to identify opportunities for data-driven solutions and shape strategies aligned with business priorities and industry trends.
Act as a trusted advisor, effectively presenting data capabilities and emerging technologies to both technical teams and business decision-makers in a clear and compelling manner.
Provide leadership and guidance to data scientists, ensuring successful delivery of Thailand client engagements and high-quality project outcomes.
Lead, coach, and develop team members — conducting regular career conversations, providing constructive feedback, and fostering a culture of continuous learning and high performance.
Develop and manage project budgets, ensuring effective resource utilization and alignment with financial targets.

Qualifications

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, Business Analytics, or a related field
12+ years of demonstrated industry experience in analytics, with a proven track record in delivering end-to-end AI/ML projects across diverse industries, with demonstrated impact on business outcomes
Strong proficiency in data analysis, statistical modelling, and advanced analytics techniques; familiarity with cloud platforms (AWS, GCP, Azure) and data visualization tools (Tableau, Power BI, etc.)
Understanding of AI/ML concepts, model development, and deployment workflows, with the ability to evaluate and integrate emerging AI tools into business solutions
Strong consultative and client-facing skills, with the ability to bridge technical expertise and business value
Experience leading cross-functional teams and driving projects/initiatives in collaboration with business stakeholders
Executive presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations
Collaborative mindset with the ability to mentor and guide junior team members

Also Preferred

Understand advanced M/L, D/L algorithms, and Generative A.I.
Strong understanding of payments and banking Industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant
In-market experience and knowledge of local language and culture, regulation and industry trends

Travel Requirements

This position requires travel 5-10% of the time.

Additional Information

","hiringOrganization":{"@type":"Organization","name":"Visa","sameAs":"https://visa.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangkok, THAILAND, Thailand","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Venture Data Science Lead","datePosted":"2025-09-23","description":"Job Description:We’re partnering with one of the world’s leading construction equipment manufacturers to reinvent how the industrial world builds, operates, and makes decisions. This is a rare chance to work shoulder-to-shoulder with a global market leader, tackling high-impact problems with technology and taking bold ideas from 0 to 1. As a Data Science Lead on this venture, you’ll have the mandate and autonomy to turn raw concepts into real businesses - scoping, building, and launching software that can transform an industry.
You'll act as the principal expert while leading data science for the venture. You will collaborate with your venture team to design and implement data pipelines, guide data science best practices, oversee data monitoring, and build AI/ML solutions. Your duties will include assisting in validating the initial business concepts, ideating and validating AI/ML use cases, developing prototypes and proof of concepts, and working closely with the product and engineering team members to drive practical outcomes. You’ll have the support you need to drive new innovation in impactful domains ripe for change and growth and be at the forefront of data science and technology advancements in the field.
In this role, you will:

Act as the primary owner of Data Science, Analytics, and in some cases Data Engineering as a subject matter expert
Build out a team and incubate expertise amongst several venture start-ups
Create rapid proofs of concept, then scale into functional MVPs to turn concepts into tangible reality.
Mentor and support early-stage venture teams to achieve bigger outcomes at a greater scale in data density and system complexity.
Cross-pollinate learnings, best practices, and insights between multiple ventures to drive continuous improvement of Engineering and Data Science at UP.Labs.
Enjoy working in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are equally valued

You should have:

8 years experience within Data Science, Data Engineering, and Machine Learning domains and their practical applications
Experience working in a startup environment; member of a founding team ideal.
Hands-on experience with machine learning algorithms like random forest, linear and logistic regressions, gradient boosting, classification, algorithms for building, evaluating, deploying and monitoring ML models from scratch.
Familiarity and preference for working in ambiguous, fast-paced environments such as startups and growth-phase tech companies.
Hands-on and end-to-end product build, development, and delivery experience.
Experience working with or managing and leading remote, distributed teams including full-time data scientists, engineers and vendors/contractors.
Awareness of the latest in Data Science and Data Engineering trends, as well as new use cases within the ML Space.
Experience working with major cloud environments (Azure, GCP, AWS) and cloud-native software architectures.
Experience with Database and Warehouse solutions, e.g. Data Bricks, Snowflake, Fivetran, DBT and respective public cloud data infrastructure service offerings from AWS, GCP, and Azure.
Strong experience in collaborating with Product teams to find effective solutions.
Strong communication skills put to use by explaining technical vision and deeply technical concepts to a variety of multidisciplinary team members.
An open, curious, and humble mindset that builds on to our open, inclusive, and collaborative environment.

Additional desired competencies:

Experience with systems planning in the domains of transportation, aviation, or digital simulation would be valuable.
Familiarity with AB testing setup and analysis
Familiar with Reinforcement Learning for practical use cases

UP.Labs Summary:We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
Our platform is unique in three ways:

Risk: We reward our entire team and ecosystem of partners with meaningful equity
Technology: We build and launch scalable technology products that form the basis for each venture
Industry Focus: We stay focused on the underlying fabric of society mobility and transportation

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. We rapidly ideate concepts from scratch and vet them for early indicators of product-market fit.
Location: Santa Monica, CAHybrid Work Environment: In-office from Monday-Thursday; remote on FridaysTravel: 6+ weeks per year
","hiringOrganization":{"@type":"Organization","name":"UP.Labs","sameAs":"https://up.partners/labs/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Principal Engineer - Data Science","datePosted":"2025-09-23","description":"

Company:

MMC Corporate

Description:

We are seeking a talented individual to join our CIS team at Marsh McLennan. This role will be based in Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

Principal Engineer - Data Science

We will count on you to:

Design and implement machine learning pipelines that curate datasets, train, test, and validate models, and deploy them into production.
Utilize LLMs and Generative AI techniques to enhance data analysis, natural language processing, and predictive modeling capabilities.
Apply supervised, unsupervised, and deep learning techniques to address business challenges, including the development of recommendation engines and scoring systems.
Conduct A/B testing and utilize statistical techniques to evaluate model performance and improve outcomes.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and processes.
Proficient in model building using R or Python, with a strong focus on data mining and leveraging large datasets.
Demonstrated ability to design and build machine learning pipelines, including model training, validation, and deployment.
Deep understanding of statistical and machine learning modeling, with experience applying these techniques to real-world business problems.

What You Need To Have:

Bachelor’s or Master’s degree in Computer Science, Data Science
Minimum of 3+ years of experience in data science
Hands-on experience with analytics and big data technologies, particularly within Microsoft Azure, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
Working knowledge of machine learning frameworks and tools such as scikit-learn, TensorFlow, PyTorch, and ONNX.
Experience with LLMs and Generative AI frameworks, including fine-tuning and deploying models for specific applications.
Experience with cloud service machine learning platforms, preferably Azure, and setting up data and experimental platforms.
Extensive knowledge of model management, ideally using Azure ML service and/or ML Flow, as well as deployment using Azure Kubernetes Service.

What Makes You Stand Out:

Excellent verbal and written communication skills, comfortable interfacing with business users
Good troubleshooting and technical skills
Able to work independently

Why Join Our Team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.","hiringOrganization":{"@type":"Organization","name":"Marsh McLennan","sameAs":"https://www.marshmclennan.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai - Hiranandani, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Science Engineer","datePosted":"2025-09-23","description":"

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day In The Life

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. We’re a mission-driven leader in medical technology and solutions with a legacy of integrity and innovation, join our new Minimed India Hub as a Sr. Data Scientist. We are seeking a highly motivated and talented data scientist to join the Transformation team. This pivotal role is crucial for driving innovation and transforming our commercial operations by leveraging cutting-edge data science and artificial intelligence (AI) techniques.

This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction.

Job Responsibilities may include the following and other duties may be assigned:

Model Design & Development
Cross-functional Collaboration
Model Evaluation & Deployment & Monitoring
Continuous Innovation
Design, develop, and implement statistical models, machine learning /deep learning algorithms and AI techniques to solve complex business problems and drive commercial excellence (e.g.: sales data, patient data, CRM data, etc.,.).
Translate model results into actionable insights to support business objectives.
Collaborate closely with internal cross-functional teams (e.g.: Finance, Marketing, IT, Sales, etc.,.) to understand business problems and ensure deliverables are highly aligned with commercial requirements.
Document and communicate solutions to both technical and non-technical stakeholders.
Optimize and fine-tune machine learning/LLM models for performance and accuracy.
Use software design principles to develop production ready code and deploy in production environments.
Keep tracking and continuously monitor model performance.
Stay up to date with the latest advancements in data science.
Evaluate new technologies that have opportunities to bring new values to the company and apply to projects.
Mentor and guide other junior data scientists.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of industry experience of applying data science, AI, and advanced analytics to real-world business problems.
5+years of experience and strong proficiency in Python and popular data science ecosystem such as Spark MLlib, Keras, PyTorch, HuggingFace Transformers, scikit-learn, spacy, etc..
5+years of experience and strong proficiency with SQL and data manipulation in various database environments
Solid understanding of diverse machine learning algorithms: regression, classification, clustering, time series, NLP, deep learning
3+ years of experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP)
1+ years of experience in utilizing GenAI techniques such as LLMs for complex business problems. Familiar with prompt engineering and optimization techniques for generative AI models.
Solid knowledge of software engineering best practices (version control, CI/CD, code reviews)

Preferred Qualifications:

Master's degree or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related quantitative field
Industry Experience with MLOps practices and tools for model deployment, monitoring, and maintenance in production environments
Demonstrated expertise in fine-tuning and deploying large language models (LLMs) for enterprise applications
Proficient with vector databases and retrieval-augmented generation (RAG) techniques for enhancing LLM performance
Proficient with containerization technologies (Docker, Kubernetes) for scalable ML solutions
Track record of leading cross-functional data science projects that delivered measurable business impact
Contributions to open-source projects, research publications, or patents in relevant fields
Experience mentoring junior data scientists and providing technical leadership
Knowledge of data privacy/security best practices, and relevant regulations (GDPR, CCPA, etc.)

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here

","hiringOrganization":{"@type":"Organization","name":"Medtronic","sameAs":"https://www.medtronic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-MH Pune Viman Nagar, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Principal Engineer","datePosted":"2025-09-23","description":"

- Oversee all projects, manage project execution and make customer success

- Monitor operation data, meet KPI target and resource allocation effectively

- Drive internal cross-functional team to remove barriers, manage conflicts and develop total solutions internally

- Lead, attend and report in cross-divisional team meetings and meet project timeline

- Develop solution /application strategy on new projects development, and seek buy-ins from all stakeholders on design concepts

- Drive engineering team members to perform system study and handle feasibility and quotation analysis

- Develop and implement design validation plan and lead production launch

- Work closely with customers to characterize product applications, understand their requirements and create product specifications

- Drive DFMA implementation and learn from Cycle-of-Learning (COL) lessons

- Create Quality Function Deployment (QFD) on projects and motivate them to complete them

- Monitor technical report preparation and documentation control

- Participate in customer meetings, teleconferences and visits

Come join our global, inclusive & diverse team

Our purpose is to improve the quality of life of everyone we touch through our innovative motion systems. We are a truly global team bound together by our shared values. Our culture is built on the diversity, knowledge, skills, creativity, and talents that each employee brings to the company. Our people are our company’s most valuable asset. We are committed to providing an inclusive, diverse and equitable workplace where employees of different backgrounds feel valued and respected, regardless of their age, gender, race, ethnicity or religious background. We are committed to inspiring our employees to grow, act with ownership and find fulfilment and meaning in the work they do.

欢迎加入我们全球性、富包容和多元化的团队！

我们的目标是通过创新的驱动系统提高每一个产品接触者的生活质量。我们是一个真正的全球性团队，我们有着共同的价值观因而联结在一起。我们的文化是建基于每一位员工为公司带来的多样性、知识、技能、创意和才能之上。我们的员工是我们企业最宝贵的资产。我们致力于为员工提供一个包容、多元和平等的工作场所，在这里无论他们的年龄、性别、肤色、种族或宗教信仰如何，不同背景的员工都能感到受重视和尊重。我们致力于激励我们的员工成长，以主人翁精神行事，并在他们所做的工作中找到成就感和意义。

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ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development

We are currently seeking a Senior Clinical Data Science Lead to join our diverse and dynamic team. As a Senior Clinical Data Science Lead at ICON, you will play a pivotal role in leading the analysis, interpretation, and management of clinical data to drive the success of our clinical trials. You will contribute to the advancement of innovative treatments and therapies by overseeing data science initiatives and ensuring data quality and integrity across studies.

What You Will Be Doing:

Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting.
Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs.
Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes.
Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements.
Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.

Your Profile:

Advanced degree in a relevant field such as data science, biostatistics, or life sciences.
Extensive experience in clinical data science, with a strong focus on data management and analysis in clinical trials.
Strong leadership skills and a proven ability to manage cross-functional teams in a fast-paced, matrix environment.
Expertise in data analysis tools, statistical software, and data visualization techniques.
Excellent communication, interpersonal, and stakeholder management skills, with the ability to influence and drive change in a complex organization.

What Icon Can Offer You:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.

Our Benefits Examples Include:

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs.
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
Life Assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here.

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

Are you a current ICON Employee? Please click here to apply

","hiringOrganization":{"@type":"Organization","name":"ICON plc","sameAs":"https://www.iconplc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina, Buenos Aires","addressCountry":"Argentina","addressRegion":"South America"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Principal Engineer - Development(SRE/Cloud/Monitoring tools)","datePosted":"2025-09-23","description":"

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

Pune (Two days in-office, Three days virtual)

What you will be doing:

Site Reliability Engineer will play a critical role in driving innovation and growth for the Banking Solutions, Payments and Capital Markets business. In this role, the candidate will have the opportunity to make a lasting impact on the company's transformation journey, drive customer-centric innovation and automation, and position the organization as a leader in the competitive banking, payments and investment landscape. Specifically, the Site Reliability Engineer will be responsible for the following:

Design and maintain monitoring solutions for infrastructure, application performance, and user experience.
Implement automation tools to streamline tasks, scale infrastructure, and ensure seamless deployments.
Ensure application reliability, availability, and performance, minimizing downtime and optimizing response times.
Lead incident response, including identification, triage, resolution, and post-incident analysis.
Conduct capacity planning, performance tuning, and resource optimization.
Collaborate with security teams to implement best practices and ensure compliance.
Manage deployment pipelines and configuration management for consistent and reliable app deployments.
Develop and test disaster recovery plans and backup strategies.
Collaborate with development, QA, DevOps, and product teams to align on reliability goals and incident response processes.
Participate in on-call rotations and provide 24/7 support for critical incidents.

What You Bring:

Proficiency in development technologies, architectures, and platforms (web, API).
Experience with cloud platforms (AWS, Azure, Google Cloud) and IaC tools.
Knowledge of monitoring tools (Prometheus, Grafana, DataDog) and logging frameworks (Splunk, ELK Stack).
Experience in incident management and post-mortem reviews.
Strong troubleshooting skills for complex technical issues.
Proficiency in scripting languages (Python, Bash) and automation tools (Terraform, Ansible).
Experience with CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps).
Ownership approach to engineering and product outcomes.
Excellent interpersonal communication, negotiation, and influencing skills.

What We Offer You:

A work environment built on collaboration, flexibility and respect
Competitive salary and attractive range of benefits designed to help support your lifestyle and wellbeing.
Varied and challenging work to help you grow your technical skillset

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#Pridepass

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Description

We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation’s foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI.

The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI).

We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include—but are not limited to—computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.

Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members’ interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative.

Qualifications

PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field
Strong methodological and computational skills
Demonstrated interest or experience in health-related applications of statistical or data science methods
Strong written and oral communication skills
Ability to work collaboratively with interdisciplinary teams

Application Instructions

Interested applicants should submit the following materials:

Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate’s work could help advance data science and AI in the Department and University, and the candidate’s larger career goals)
Curriculum vitae
Contact information for three references

Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled.

Equal Employment Opportunity Statement

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

Pre-Employment Information

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu.

Background Checks

The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.

EEO is the Law:
https://www.eeoc.gov/sites/default/files/2023-06/22 088_EEOC_KnowYourRights6.12ScreenRdr.pdf

Diversity And Inclusion

The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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Job Description: Data Science Analyst

Key Responsibilities

Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists to extract insights and solve business problems
Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient Analyst working under the supervision of the senior/lead data science analysts.
Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions
Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
Build industry knowledge on the advancements in the field of analytics, data science and GenAI
Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture.
KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)

Key Activities

Working in a team to support end-to-end analytical projects
Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team
Liaising with stakeholders to determine objectives / scope of upcoming projects
Data exploration, cleansing and manipulation
Determining appropriate type of analysis and undertaking analysis/modelling
Extracting insights
Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools
Participate in client meetings
Ongoing stakeholder interaction (internal and external as required) on project progress
Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team

Experience and education required

2-4+ years’ experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives
Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS
Experience in visualization and data management tools is an added advantage
Experience in GenAI/ LLMs is an added advantage
Experience working with complex datasets
Attention to detail and self driven continuous learning
Participation in external data hackathons and competitions will be an added advantage

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.","hiringOrganization":{"@type":"Organization","name":"The Cigna Group","sameAs":"https://www.thecignagroup.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND Bengaluru, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Software Senior Principal Engineer","datePosted":"2025-09-23","description":"

Senior Principal Software Engineer

The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as a Senior Principal Software Engineer on our Software Engineering Team in Bangalore.

What you’ll achieve
As a Senior Software Principal Engineer, you will be responsible for developing sophisticated systems and software basis the customer’s business goals, needs and general business environment creating software solutions.

You will:
•Design and lead the effort on automation, CI/CD processes and tools to make our services simpler and more robust
•Mentor team members in design collaboration, code reviews, development tools and processes
•Take part in the full software development life cycle including development, test, continuous delivery and support
•Be an active member of an agile team, collaboratively realizing features through development, test and delivery

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

Essential Requirements
•13+ years of software development experience
•Strong problem-solving and analytical skills
•Agility to adapt to technologies and processes quickly
•Strong development/programming experience in Python/Ansible/ Kubernetes

Desirable Requirements
•Bachelor’s or master’s degree in computer science or related field
•Experience with vRealize Orchestrator, vRealize Automation, Enterprise Storage, Atlassian products (JIRA, Confluence)

Who we are

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

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

Application closing date: 06 October 2025

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

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Overall Responsibilities:

Lead AI/ML/Data Science projects for Synechron's clients and ensure successful delivery
Mentor and guide junior AI/ML/Data Science team members
Collaborate with cross-functional teams and provide subject matter expertise in AI/ML/Data Science
Stay updated with latest AI/ML/Data Science trends and technologies
Identify and evaluate new business opportunities in AI/ML/Data Science

Skills:

Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc.
Knowledge of programming languages such as Python, R, SQL, etc.
Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc.
Excellent problem-solving skills and ability to find creative solutions to complex data science problems.
Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients

Experience:

Minimum 07 years of experience in AI/ML/Data Science, with at least 03 years in a leadership role
Proven track record of successfully delivering AI/ML/Data Science projects
Experience in mentoring and leading a team of AI/ML/Data Science professionals

Day-To-Day Activities:

Lead AI/ML/Data Science projects, ensuring successful delivery
Mentor and guide junior team members
Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science
Stay updated with latest AI/ML/Data Science trends and technologies
Identify and evaluate new business opportunities in AI/ML/Data Science

Qualification:

Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

Soft Skills:

Excellent leadership and team management skills
Strong interpersonal and communication skills
Ability to work in a fast-paced and dynamic environment
Good negotiation and stakeholder management skills
Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

SYnechron’S Diversity & Inclusion Statement

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

","hiringOrganization":{"@type":"Organization","name":"Synechron","sameAs":"https://www.synechron.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru - GTP, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Principal Engineer, Project Engineering (Hybrid)","datePosted":"2025-09-23","description":"

Date Posted:

2025-09-08

Country:

United States of America

Location:

01: Building 01 Windsor Locks One Hamilton Road, Windsor Locks, CT, 06096 USA

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

We are seeking a Principal Engineer, Project Engineering to lead and manage engineering projects with a focus on scope, cost, schedule, and risk. This role is critical in driving collaboration across multiple functional teams, including systems and design engineers, program and project management, suppliers, and customers, to support the development and integration of electrical and mechanical systems for military engine programs.

The ideal candidate will thrive in a fast-paced environment and demonstrate strong leadership, communication, and technical skills. This position may also involve mentoring and guiding team members, as directed by the Cost Account Manager (CAM), to ensure successful execution of engineering deliverables.

If you’re looking to make a meaningful impact in a high-visibility role supporting defense programs, we’d love to hear from you.

What You Will Do

Manage the design and integration of complex assemblies in accordance with Collins’s product development process.
This role may also require the individual to guide, mentor, and lead team members within the group as directed by the Cost Account Manager (CAM).
The individual may also be responsible for Earned Value Reporting (SPI/CPI) and Cost Account Management (CAM) duties, as directed by the group’s CAM.
Develop basis of estimates (BOE) to support business proposals, including negotiating with the end customer.
Provide design oversight for specifications, drawings, and test plans.
Perform system and component requirements reviews and compliance assessments.
Develop and manage project risk and mitigation plans.
Develop and deliver detailed presentations for product design reviews.
Support product verification, certification, and production incorporation.
Conduct Relentless Root Cause & Corrective Action (RRCCA) investigations for field and production engine test component removals.
Coordinate Class I and Class II engineering changes utilizing the Collins and Pratt & Whitney Configuration Control Board processes.
Coordinate efforts with the Category 1 supplier to carry out any and all engineering tasks required to support program/customer milestones and objectives.
Develop and present project status and closure plans to Collins, customer engineering, and program leadership.

Qualifications You Must Have

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience

Qualifications We Prefer

Demonstrated ability to use motivation, creativity, ownership, urgency, and strong interpersonal skills to drive results.
Proven experience with effective planning and execution skills.
Ability to multitask, meet challenging schedules, and deliver projects on budget.
Experience working within a highly matrixed organization, collaborating with team members, suppliers, and customers.
Proficiency with Microsoft Office, including PowerPoint, Excel, and Integrated Master Schedule/Project scheduling tools.
Familiarity with CORE tools/systems to support project management and collaboration efforts is highly desirable.

What We Offer

Some of our competitive benefits packages include:  

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Birth, adoption, parental leave benefits
Ovia Health, fertility, and family planning

· Adoption Assistance

· Autism Benefit

Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives, wellness rewards program
Doctor on Demand, virtual doctor visits
Bright Horizons, child and elder care services
Teladoc Medical Experts, second opinion program

·  And More!

May be Eligible for Relocation 

Learn More & Apply Now! 

We make modern flight possible for millions of travelers and our military every second.  Our major product lines are on-board virtually every aircraft flying. Be it keeping passengers safe with our emergency power generation systems or creating a positive in flight experience through reliable cabin pressure controls and quieter engines, Power & Controls focuses on delivering a best-in-class experience to our customers. We hire the top people in the industry. Their ideas drive our performance, and their integrity keeps our customers happy. Join us as we take flight! 

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. 

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. 

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.  

Apply now and be part of the team that’s redefining aerospace, every day. 

The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy And Terms:

Click on this link to read the Policy and Terms

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A Day In The Life

Job Responsibilities may include the following and other duties may be assigned:

Model Design & Development
Cross-functional Collaboration
Model Evaluation & Deployment & Monitoring
Continuous Innovation
Design, develop, and implement statistical models, machine learning /deep learning algorithms and AI techniques to solve complex business problems and drive commercial excellence (e.g.: sales data, patient data, CRM data, etc.,.).
Translate model results into actionable insights to support business objectives.
Collaborate closely with internal cross-functional teams (e.g.: Finance, Marketing, IT, Sales, etc.,.) to understand business problems and ensure deliverables are highly aligned with commercial requirements.
Document and communicate solutions to both technical and non-technical stakeholders.
Optimize and fine-tune machine learning/LLM models for performance and accuracy.
Use software design principles to develop production ready code and deploy in production environments.
Keep tracking and continuously monitor model performance.
Stay up to date with the latest advancements in data science.
Evaluate new technologies that have opportunities to bring new values to the company and apply to projects.
Mentor and guide other junior data scientists.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of industry experience of applying data science, AI, and advanced analytics to real-world business problems.
5+years of experience and strong proficiency in Python and popular data science ecosystem such as Spark MLlib, Keras, PyTorch, HuggingFace Transformers, scikit-learn, spacy, etc..
5+years of experience and strong proficiency with SQL and data manipulation in various database environments
Solid understanding of diverse machine learning algorithms: regression, classification, clustering, time series, NLP, deep learning
3+ years of experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP)
1+ years of experience in utilizing GenAI techniques such as LLMs for complex business problems. Familiar with prompt engineering and optimization techniques for generative AI models.
Solid knowledge of software engineering best practices (version control, CI/CD, code reviews)

Preferred Qualifications:

Master's degree or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related quantitative field
Industry Experience with MLOps practices and tools for model deployment, monitoring, and maintenance in production environments
Demonstrated expertise in fine-tuning and deploying large language models (LLMs) for enterprise applications
Proficient with vector databases and retrieval-augmented generation (RAG) techniques for enhancing LLM performance
Proficient with containerization technologies (Docker, Kubernetes) for scalable ML solutions
Track record of leading cross-functional data science projects that delivered measurable business impact
Contributions to open-source projects, research publications, or patents in relevant fields
Experience mentoring junior data scientists and providing technical leadership
Knowledge of data privacy/security best practices, and relevant regulations (GDPR, CCPA, etc.)

Benefits & Compensation

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

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The Principal Engineer of Connectivity Service Management is a senior technical leader responsible for ensuring the stability, performance, and security of GSK’s global network infrastructure. This role involves leading complex network projects, providing expert-level troubleshooting, and guiding the Network Operations team in best practices and advanced network solutions.

Your Responsibilities Include…

Serve as the technical authority for network operations, providing guidance on complex network issues and solutions.
Support and provide feedback in the design, implementation, and maintenance of high-performance, resilient network infrastructures.
Mentor and develop network engineers, fostering a culture of continuous learning and technical excellence.
Oversee the day-to-day operations of GSK’s global network, ensuring optimal performance and availability.
Conduct advanced troubleshooting and root cause analysis of network incidents and problems.
Aid in the continual improvement of network management and monitoring tools to ensure proactive identification and resolution of issues.
Maintain robust network security measures to protect against threats and vulnerabilities.
Ensure network operations comply with relevant security policies, standards, and regulatory requirements.
Conduct regular security assessments, audits, and penetration tests, addressing any identified risks.
Stay current with emerging network technologies and industry trends, recommending and implementing innovative solutions.
Drive continuous improvement initiatives to enhance network performance, reliability, and security.
Develop and enforce network policies, procedures, and best practices.
Manage relationships with network service providers, hardware vendors, and other external partners.
Collaborate with business units, IT teams, and stakeholders to understand and meet network requirements.
Communicate network performance, issues, and initiatives to stakeholders at various levels of the organization.

Why You?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred.
10+ years of experience in network engineering and operations, 5+ years in a senior or lead role.
Knowledge of network infrastructure, protocols, and technologies, including Cisco, Juniper, Palo Alto, and others.
Experience in network security principles and practices.
Experience with network design, implementation, and troubleshooting

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

Five years of experience in the pharmaceutical industry, with a solid understanding of its technological trends.
Excellent leadership, communication, and interpersonal skills.
Strong analytical and problem-solving abilities.
Ability to work effectively in a fast-paced, dynamic environment.
Passionate about enhancing the customer experience.
Experienced in initiating and delivering large-scale operational programs.
Skilled in operating systems and database administration.
Proficient in agile delivery methodologies.
Experienced in the DevOps operational model.

#Li-Gsk

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?
Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

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Core Responsibilities:

Manages a team of data scientists handling diagnostic, predictive, and prescriptive analytics projects to support data‑driven decision‑making. Continuously evolves Vanguard’s data science capabilities with rapid prototyping and MVPs to shorten time‑to‑value.
Leads the data scientist and machine learning engineering staff within the Center for Analytics and Insights (CAI). Mentors the team in analytics, big data, predictive modeling, prescriptive analytics, and AI/Machine Learning (ML) while instilling hypothesis‑driven experimentation, fast iteration, and product thinking from prototype to production.
Engages with senior business unit leaders, project sponsors, and stakeholders to understand their business priorities and initiatives. Identifies and educates on where and how data science can provide the best insights and deliver measurable value tied to client outcomes and business results.
Ensures rigorous application of controls throughout the data science project lifecycle to minimize model risks and comply with external and internal model governance requirements including documentation, observability, and post‑deployment monitoring against agreed business KPIs.
Drives creative and innovative data science / machine learning / AI applications and results. Keeps abreast of industry, market and company trends, and partners with business leaders to champion the adoption of new data, analytic approaches, techniques and capabilities.
Measures and quantifies the business impact of DS/ML solutions. Identifies opportunities for continuous improvement and to increase team effectiveness. Leads initiatives to achieve the improvements.
Builds deep expertise in Vanguard’s data and external data. Consults on this knowledge and applies it to complex analytic projects. Identifies data and analytic tool gaps by working with other CAI teams, business partners and IT, and recommends corrective action that unblocks value delivery.
Elevates the stature of Analytics - helps grow the organization's appreciation for, and use of, advanced analytics.
Works closely with Internal stakeholders including the Executive Team, Business Unit Leaders, Head of Research, IT leadership and other CAI colleagues.
Build relationships with external stakeholders such as leading universities, third-party data providers and Data Analytics thought leaders.

Qualifications:

10+ years of work experience in advanced analytics functions rooted in data science; financial services industry experience a plus.
Proficiency in data wrangling; programming skills (Python, R); and experience with cloud‑based computing platforms.
Deep experience in applied math, statistical techniques, machine learning methods, and AI applications.
Experience with NLP methods, deep learning, and transformer‑based models; familiarity with generative AI.
Excellent verbal and written communication skills to articulate complex data science concepts to non‑technical stakeholders.
Strong project/program management skills; able to oversee multiple projects, manage trade‑offs, and drive time‑to‑value.
Proven leadership experience in managing and developing high‑performing teams with a track record of converting prototypes into scaled solutions that achieve measurable business outcomes.
Experience with Continuous Integration/Continuous Deployment (CI/CD) and Software Development Life Cycle (SDLC) processes and MLOps/observability practices.
Preferred: Experience defining and tracking value metrics, running experimentation (e.g., A/B testing, causal inference), and driving stakeholder adoption from MVP through scale.
Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study, or equivalent combination of training and experience. Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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Principal Engineer - Protection & Control

Reporting to Manager - Protection & Control

Location: Portland or Augusta, ME

Work Type: Office, 5 days

The base salary range for this position is dependent upon experience and location, ranging from $125,000 to 157,000 plus up to 16% bonus

Why Avangrid?

Competitive Salary & Benefits: Enjoy a comprehensive benefits package including competitive health insurance, Student Loan Debt Repayment program, up to $10k annual tuition assistance policy, $3500 EV Employee incentive program, 2-months parental leave, industry-leading 12% company 401(k) match!
Relocation Benefits: Up to $10k allowance offered, including household goods transport, up to two car transportations, one month of temporary lodging, and up to 10 days of car rental, airfare and meals offered for eligible employees.
Career Growth: Opportunities for professional development, certifications, and advancement within the company.
Innovative Projects: Work on cutting-edge technology, leader in the industry, and impactful projects that shape the future of energy delivery.
Collaborative Environment: Join a team that values safety, excellence, and sustainability, fostering a supportive and collaborative work culture.
Work-Life Balance: Flexible work arrangements to help you balance your professional and personal life.

Job Summary:

Responsible for electric system protection technology platforms including standards, training, and communication. The electric delivery system in Maine contains approximately 2,600 miles of transmission lines & 317 substations. This role will consult and guide project engineers on protection engineering for electric transmission and substation system protection projects to ensure system reliability and safety. Guide engineering studies to evaluate equipment, system effectiveness, and protection system operations. Lead and guide the Protection Engineering group across AVANGRID in their technical training and development. Evaluate and implement new and advanced technology platforms to increase reliability and efficiency. Ensure all protection system standards and designs meet applicable company, local, state, and national codes and standards. Liaison across Operating Companies, across global affiliates, with different departments, and with outside groups and agencies. Contributes to the development of System Protection strategy.

Key Responsibilities

Guide engineering design, estimating, and analysis of the electric transmission and substation protection systems in support of capital construction budget and keeping system performance enhancement in line with budget. Responsible for protection system platforms, including settings, testing, and commissioning developed both internally and by contractors and consultants. (20%)
Responsible for the development of the system protection platform for AVANGRID and coordination with global affiliates; including integration, settings, networking, engineering criteria, construction standards, design and equipment specifications, integration schemes, automation configurations, commissioning plans, and requirements for engineering suppliers and contractors. Oversee the evaluation and demonstration of new technology in terms of safety, cost and other efficiencies; and implement to enhance power system performance. (25%)
Oversee engineering studies to evaluate equipment and protection system performance and effectiveness and analyze operational issues in support of system reliability and operational efficiency. Develop and validate information needed for engineering analyses and apply engineering judgment to solve complex technical problems. (15%)
Provide expertise and guide the analysis of transmission fault event operations to ensure protection scheme operated as intended. Ensure clear and concise fault analysis reports to management depicting corrective actions and lessons learned when necessary. (15%)
Represent the company on regional and national committees. (10%)
Lead and guide the technical development of the Protection Engineering group. (15%)
Utilize knowledge to influence and guide department engineers.
Provide technical leadership in most complex projects that have a wide impact on the business
Mentor, develop and support team in technical skills
SME for team
Liaison/ direct contractors on company policy, standards and best practices
Work independently with little supervision

Qualifications:

Theoretical Engineering knowledge - Planning, Operations and Engineering Design, Analytic, modeling & Calculation, understanding the business model; Global View of the Business (Values cross-functional collaboration, understands importance of growing knowledge and developing relationships and links across the organization)
Practical engineering experience/application - Planning, Operations and Engineering Design, Construction, (e.g., field experience, standardization \"Perform economic analyses of engineering alternatives, develop business cases and defend in front of stakeholders.\")
Engineering documentation – Ability to adequately document and interpret engineering documentation
Ability to review and approve engineering work done by others to ensure compliance with company standards, specifications, and contract requirements
Knowledge of Regulatory and Compliance Environment – Local, State and Federal Regulatory Standards and requirements
Bachelor’s degree in Engineering with a minimum of 10+ years’ relevant experience required; Master’s Degree preferred
Professional engineering license preferred
Expert knowledge of all aspects of engineering & design, national and international standards, and compliance requirements associated with power system protection

#Li-Office#Li-Jo1

Company:

CENTRAL MAINE POWER CO

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Job Posting End Date:

January-5-2026","hiringOrganization":{"@type":"Organization","name":"Iberdrola Renewables","sameAs":"https://www.iberdrola.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ME - Portland - Canco Rd, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Principal Engineer, Embedded Software Architecture","datePosted":"2025-09-23","description":"

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Job Summary:

Analog Devices, Inc., is looking for a dynamic and self-motivated Embedded Software Architect who is passionate about reshaping the way we approach software and hardware development in the semiconductor industry. The ideal candidate will be both technically deep and capable of seeing the big picture, willing to challenge the status quo, and proactively drive change within the organization. This role requires someone who is eager to engage with hardware/software co-design, embedded systems, and the development process, while also being comfortable working with both technical teams and the senior leadership.

Key Responsibilities:

Lead Change & Process Transformation: Proactively identify opportunities to improve and streamline how software and hardware are developed, focusing on process improvements, collaboration, and the integration of new technologies. Challenge existing workflows and introduce better practices that enhance the company's ability to innovate and scale.
Hardware/Software Co-Design: Lead the design and architecture of systems that involve both software and hardware co-design. Collaborate with hardware architects and engineers to ensure that hardware and software components work seamlessly together, meeting performance, reliability, and power requirements.
Embedded Systems Design: Oversee the architecture of software for embedded systems, including low-level firmware, device drivers, and OS interactions, ensuring that software is optimized for resource-constrained environments and high-performance hardware.
Collaboration with Hardware Teams: Work closely with hardware teams to define system-level requirements and ensure that software solutions align with hardware design. Participate in hardware specification reviews, debug hardware/software integration issues, and optimize systems for performance and efficiency.
Strategic Alignment: Help shape the company’s software strategy and ensure alignment with broader organizational goals. Present high-level system architectures, technology strategies, and process improvements to leadership in a clear and impactful way.
Cross-Disciplinary Integration: Develop strategies and frameworks for integrating hardware and software throughout the product lifecycle. Ensure that both hardware and software development processes align with overall system objectives and quality standards.
Technology Strategy & Innovation: Stay ahead of technological trends in hardware/software integration, embedded systems, and semiconductor technologies. Introduce innovative tools, techniques, and methodologies to improve hardware/software co-design workflows.
Mentorship & Leadership: Provide technical leadership and mentorship to software engineering teams, fostering a culture of collaboration between hardware and software engineers. Advocate for best practices in embedded systems development, software architecture, and hardware integration.
System Optimization: Work on optimizing software performance for semiconductor platforms, including reducing power consumption, increasing throughput, and improving real-time processing capabilities.
Tools & Environment: Utilize and promote industry-standard tools for embedded system development, hardware/software co-simulation, debugging, and profiling. This includes tools for FPGA programming, SoC design, debugging (JTAG, trace tools), and simulation environments such as ModelSim or Cadence.
Documentation & Communication: Create clear, comprehensive documentation for software architecture, design choices, and integration methods. Communicate effectively with both technical and non-technical stakeholders, including hardware teams, architects, and product managers.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
7+ years of experience in software architecture, with a strong background in hardware/software co-design for embedded systems.
Extensive experience working in the semiconductor industry or related fields (e.g., hardware/software co-design, FPGA, SoC development).
Proven expertise in designing and architecting software systems that integrate closely with semiconductor hardware.
Strong experience with embedded systems programming, including low-level firmware, device drivers, real-time operating systems (RTOS), and bare-metal development.
Proficiency in programming languages such as C, C++, and Python, with experience in embedded development environments.
Experience with FPGA, SoC design, ASIC development, or other semiconductor platforms, with an understanding of hardware/software interactions.
Expertise with debugging tools, such as JTAG, Logic Analyzers, and other hardware debugging methods.
Experience with hardware simulation tools such as Model Sim, Cadence, or similar, and working knowledge of hardware description languages like Verilog or VHDL.
Strong understanding of the software development lifecycle for embedded systems, including continuous integration, version control, and testing.
Knowledge of real-time systems, memory management, and performance optimization techniques for embedded platforms.
Ability to work independently and drive initiatives with minimal supervision. Demonstrated capability to challenge existing norms and push for continuous improvement across the organization.
Excellent communication and interpersonal skills, with the ability to engage with both technical teams and senior leadership effectively.

Preferred Qualifications:

Familiarity with hardware/software co-simulation and virtual prototyping tools.
Experience working with IoT devices or wireless communication systems integrated with semiconductor hardware.
Knowledge of performance analysis and optimization techniques for embedded systems.
Experience with agile development processes, particularly in hardware/software development teams.
Previous leadership experience in a cross-functional team or managing large-scale hardware/software projects.
Knowledge of semiconductor design tools, EDA tools, and electronic design automation workflows.
Understanding of AI/ML integration with hardware in the semiconductor space, especially in performance-critical applications.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

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Software Principal Engineer

Our Unstructured Data Storage (UDS) group delivers two core storage solutions of the Dell AI Platform - PowerScale and ObjectScale, providing AI-ready storage for the world’s most data intensive challenges. We are looking for talented, self-driven professionals to join our team and help shape the future of storage.

Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer on our System Test Engineering Team in Bangalore or Pune and help ensure our storage product solutions meet the highest standards of quality, reliability, and performance.

As part of this role, you will get an opportunity to work on various layers of the storage stack, including all aspects of operating systems and file systems, distributed systems, high performance protocol stacks, and next-generation virtualization technology.

What You’Ll Achieve

As a Software Principal Engineer, you will collaborate to develop effective system test strategies and test plans across Dell’s UDS product portfolio.  You will work with Product Development, Product Owners and Escalations teams to drive quality improvements throughout the development lifecycle. You will also have the opportunity to drive continual process improvements for the evolution of testing procedures and influence shift left test strategy.

You Will:

Collaborate with cross-functional teams to define test strategies, author test plans, and provide automation requirements and specifications. Validate complex, distributed storage systems across multi-config test environments.
Design and execute tests that account for non-deterministic behaviors in distributed systems, ensuring robustness under unpredictable conditions
Collaborate with appropriate stakeholders to make sure your test environment validates the customer use cases as closely as possible. Identify, document, and track defects through resolution. 
Participate in the review and evaluation of product requirements, specification and design docs to ensure quality is built into every stage of development.
Advocate for Systems Quality by anchoring every technical decision in a deep understanding of customer needs, anticipating edge cases and real-world impact.

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

Essential Requirements

8-12 years of hands-on experience in software testing and test automation (Python, JavaScript)- preferably within an enterprise storage product environment (either on-premise or cloud) where Distributed Systems architecture is a key component.
Deep knowledge of file systems, storage protocols, snapshots and data replication: Read/Write (IOPs, Latency, Bandwidth), I/O datapath, NFS, SMB, S3, ACLs, networking layers (switching, routing, vlans)
Good understanding of how end customers use/deploy Storage Systems in production environments. Experience in related system software projects e.g: Operating systems, Linux Kernel, Hypervisors, Containers etc.
Ability to deploy and use 3rd party IO tools such as; Load Dynamix, Mongoose, fio to simulate IO test workloads as a supplement to real workloads.
Skilled at reviewing and collaborating on product design docs and have competency in authoring detailed test plans.

Desirable Requirements:

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Thorough understanding of how to leverage non-deterministic testing to ensure system reliability, fault tolerance, scalability, and concurrency

Who We Are

Application closing date: 30 October 2025

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

","hiringOrganization":{"@type":"Organization","name":"Dell Technologies","sameAs":"https://www.delltechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Software Senior Principal Engineer (I9)","datePosted":"2025-09-23","description":"

Senior Principal Software Engineer

Join us to do the best work of your career and make a profound social impact as a Senior Principal Software Engineer on our Software Engineering Team in Bangalore.

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

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

Application closing date: 14th Oct 2025

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

","hiringOrganization":{"@type":"Organization","name":"Dell Technologies","sameAs":"https://www.delltechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Principal Engineer, Systems - Acoustics","datePosted":"2025-09-23","description":"

A Career At Harman

As A Technology Leader That Is Rapidly On The Move, Harman Is Filled With People Who Are Focused On Making Life Better. Innovation, Inclusivity And Teamwork Are A Part Of Our Dna. When You Add That To The Challenges We Take On And Solve Together, You’Ll Discover That At Harman You Can Grow, Make A Difference And Be Proud Of The Work You Do Every Day.

Introduction: A Career at HARMAN Lifestyle:

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound.

Contribute your talents to the high-end, esteemed JBL brand
Unite your passion for audio innovation with high-tech product development
Creating cutting-edge technology that elevates the listening experience

About The Role

Harman and JBL technical and market leadership is driven by the best loudspeaker systems technology in the world. This is an opportunity to join an elite team to develop the next generation of world-class sound products.

Harman Professional is seeking a talented and highly motivated engineer to join our Professional Loudspeaker Systems Engineering department dedicated to JBL professional loudspeakers. As a principal systems engineer you will be responsible for delivering new products to market and will be involved from conception to mass production. The systems engineer will perform electro-acoustic analysis and design and be responsible for the overall sound and performance of the product. The systems engineer will work with mechanical engineers on the final product, the design for manufacturing, and the environmental and compliance design.

What You Will Do

Understand new product proposals from the product manager, evaluate the feasibility with the engineering team.
Create and maintain product requirements specification and design architecture.
Take full responsibility for engineering new products and product families.
Develop creative acoustic designs, simulate initial concepts create prototypes and demonstrate product feasibility.
Pivot between the product manager, project manager and engineering team, to resolve engineering and project timing issues
Being the acoustic specialist in the project team
Mentor other engineers and technicians.

What You Need to Be Successful

Relevant Bachelor’s degree: Acoustics, Physic, Mechanical, Electrical or equivalent
Minimum of 6 years’ experience in loudspeaker systems design.
Thorough understanding of fundamental acoustic engineering principles
Experience in using simulation software (COMSOL, SolidWorks)
Experience in using test and measurement equipment (e.g. Klippel R&D environment, Listen SoundCheck, EASRA, or similar)
Excellent verbal and written communication skills
Experience working within and guiding interdisciplinary teams

Bonus Points if You Have

Relevant Masters or PhD degree
Understanding of manufacturing processes and quality control
List of achievements that includes granted patents and technical publications
Experience in software in Matlab / Python or similar

What Makes You Eligible

Willingness to travel 10% of the time
Willingness to work in an office in Northridge, CA
Successfully complete a background investigation and drug screen as a condition of employment

What We Offer

A flexible work environment, primarily onsite, with remote work as needed.
Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)
Extensive training opportunities through our own HARMAN University
Competitive wellness benefits
Tuition reimbursement
“Be Brilliant” employee recognition and rewards program
An inclusive and diverse work environment that fosters and encourages professional and personal development

Salary Ranges:

$ 129,750 - $ 190,300

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Job Description:

The Role

This is an individual contributor data science role. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You Will Have:

PhD or Master's in AI/ML, Computer Science, Statistics, Physics or Finance (with a background in Machine learning), with 6+ years plus of industrial experience.
Deep expertise in Python, data-centric AI/ML techniques
Experience taking a model to production and realizing measurable value from it to the team or firm
Ability to work on and drive progress for multiple projects at the same time
Experience guiding business on identifying AI use cases and optimally contributing to brainstorming sessions
Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
Excellent planning, project management, consulting, leadership, and talent management skills
Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery

The Team

We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated some LLM use cases into our pipeline, amongst other emerging technologies.

Certifications:

Category:

Data Analytics and Insights

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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Software Principal Engineer

What You’Ll Achieve

You Will:

Collaborate with cross-functional teams to define test strategies, author test plans, and provide automation requirements and specifications. Validate complex, distributed storage systems across multi-config test environments.
Design and execute tests that account for non-deterministic behaviors in distributed systems, ensuring robustness under unpredictable conditions
Collaborate with appropriate stakeholders to make sure your test environment validates the customer use cases as closely as possible. Identify, document, and track defects through resolution. 
Participate in the review and evaluation of product requirements, specification and design docs to ensure quality is built into every stage of development.
Advocate for Systems Quality by anchoring every technical decision in a deep understanding of customer needs, anticipating edge cases and real-world impact.

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

Essential Requirements

8-12 years of hands-on experience in software testing and test automation (Python, JavaScript)- preferably within an enterprise storage product environment (either on-premise or cloud) where Distributed Systems architecture is a key component.
Deep knowledge of file systems, storage protocols, snapshots and data replication: Read/Write (IOPs, Latency, Bandwidth), I/O datapath, NFS, SMB, S3, ACLs, networking layers (switching, routing, vlans)
Good understanding of how end customers use/deploy Storage Systems in production environments. Experience in related system software projects e.g: Operating systems, Linux Kernel, Hypervisors, Containers etc.
Ability to deploy and use 3rd party IO tools such as; Load Dynamix, Mongoose, fio to simulate IO test workloads as a supplement to real workloads.
Skilled at reviewing and collaborating on product design docs and have competency in authoring detailed test plans.

Desirable Requirements:

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Thorough understanding of how to leverage non-deterministic testing to ensure system reliability, fault tolerance, scalability, and concurrency

Who We Are

Application closing date: 30 October 2025

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Performance Senior Principal Engineer

At Dell Technologies, we take pride in working to the most rigorous standards and our Performance Engineering team makes sure that our cutting-edge products are fit for purpose. We model the anticipated performance of product concepts and enhancements by designing, developing, testing, analyzing and documenting analytical experiments. We also analyze existing and proposed components, as well as enhancements, modifications and corrections to existing products. In short, we stop at nothing to ensure that our products are the best that they can be for our customers.

Join us to do the best work of your career and make a profound social impact as a Performance Senior Principal Engineer on our Unstructured Data Storage (UDS) Engineering Team in Bangalore.

What You’Ll Achieve

In This Challenging Role You Will Be Part Of A Small Team That Validates, Characterizes, And Improves The Performance Of Our Uds Platforms. You Will Develop Automation To Support Testing And Troubleshoot Issues. This Is A Full-Time Individual Contributor (Ic) Opportunity For A Performance Engineer With The Relevant Experience Noted Below. This Candidate Should Have Solid Experience In Python And Linux, Be Able To Learn New Technologies Quickly And Excel In A Dynamic Environment. Innovation In Code, Process, And Working Environment Is Required.

You Will:

Develop and execute performance tests
Support processes automation and continuous testing
Define and capture metrics to quantify and track system performance
Triage and troubleshoot complex issues in distributed test environments
Profile and analyze software and hardware efficiency
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
13+ years’ experience in software development, including experience with Python, C and Bash.
Experience with Linux/Unix platforms and computer systems.
Expert in performance of large-scale distributed systems, including factors in operating systems, storage, networking and protocols.
Strong skills in debugging, triaging, and resolving technical issues.
Experience with processes automation and Jenkins. Skills with CI/CD processes and configuration management tools.

Desirable Requirements

BS/BA/MA in Computer Science, similar engineering field, or equivalent related experience. Proficient with development tools and VSCode.
Comfortable with Agile Scrum Processes.

Who We Are

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

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

Application closing date: 30 Sep, 2025

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

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Software Principal Engineer

What You’Ll Achieve

You Will:

Collaborate with cross-functional teams to define test strategies, author test plans, and provide automation requirements and specifications. Validate complex, distributed storage systems across multi-config test environments.
Design and execute tests that account for non-deterministic behaviors in distributed systems, ensuring robustness under unpredictable conditions
Collaborate with appropriate stakeholders to make sure your test environment validates the customer use cases as closely as possible. Identify, document, and track defects through resolution. 
Participate in the review and evaluation of product requirements, specification and design docs to ensure quality is built into every stage of development.
Advocate for Systems Quality by anchoring every technical decision in a deep understanding of customer needs, anticipating edge cases and real-world impact.

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

Essential Requirements

8-12 years of hands-on experience in software testing and test automation (Python, JavaScript)- preferably within an enterprise storage product environment (either on-premise or cloud) where Distributed Systems architecture is a key component.
Deep knowledge of file systems, storage protocols, snapshots and data replication: Read/Write (IOPs, Latency, Bandwidth), I/O datapath, NFS, SMB, S3, ACLs, networking layers (switching, routing, vlans)
Good understanding of how end customers use/deploy Storage Systems in production environments. Experience in related system software projects e.g: Operating systems, Linux Kernel, Hypervisors, Containers etc.
Ability to deploy and use 3rd party IO tools such as; Load Dynamix, Mongoose, fio to simulate IO test workloads as a supplement to real workloads.
Skilled at reviewing and collaborating on product design docs and have competency in authoring detailed test plans.

Desirable Requirements:

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Thorough understanding of how to leverage non-deterministic testing to ensure system reliability, fault tolerance, scalability, and concurrency

Who We Are

Application closing date: 30 October 2025

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What You Will Be Doing:

Leading the development and implementation of clinical data management strategies to optimize data collection, analysis, and reporting.
Collaborating with cross-functional teams to ensure the accurate integration of data science techniques into clinical trial designs.
Overseeing the analysis of clinical data to provide actionable insights that inform study decisions and outcomes.
Providing strategic guidance on data governance, quality control, and compliance with regulatory requirements.
Establishing partnerships with key stakeholders to leverage the latest advancements in data science and technology in clinical research.

Your Profile:

Advanced degree in a relevant field such as data science, biostatistics, or life sciences.
Extensive experience in clinical data science, with a strong focus on data management and analysis in clinical trials.
Strong leadership skills and a proven ability to manage cross-functional teams in a fast-paced, matrix environment.
Expertise in data analysis tools, statistical software, and data visualization techniques.
Excellent communication, interpersonal, and stakeholder management skills, with the ability to influence and drive change in a complex organization.

What Icon Can Offer You:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

Our Benefits Examples Include:

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs.
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
Life Assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

Are you a current ICON Employee? Please click here to apply

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A Day In The Life

Job Responsibilities may include the following and other duties may be assigned:

Model Design & Development
Cross-functional Collaboration
Model Evaluation & Deployment & Monitoring
Continuous Innovation
Design, develop, and implement statistical models, machine learning /deep learning algorithms and AI techniques to solve complex business problems and drive commercial excellence (e.g.: sales data, patient data, CRM data, etc.,.).
Translate model results into actionable insights to support business objectives.
Collaborate closely with internal cross-functional teams (e.g.: Finance, Marketing, IT, Sales, etc.,.) to understand business problems and ensure deliverables are highly aligned with commercial requirements.
Document and communicate solutions to both technical and non-technical stakeholders.
Optimize and fine-tune machine learning/LLM models for performance and accuracy.
Use software design principles to develop production ready code and deploy in production environments.
Keep tracking and continuously monitor model performance.
Stay up to date with the latest advancements in data science.
Evaluate new technologies that have opportunities to bring new values to the company and apply to projects.
Mentor and guide other junior data scientists.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of industry experience of applying data science, AI, and advanced analytics to real-world business problems.
5+years of experience and strong proficiency in Python and popular data science ecosystem such as Spark MLlib, Keras, PyTorch, HuggingFace Transformers, scikit-learn, spacy, etc..
5+years of experience and strong proficiency with SQL and data manipulation in various database environments
Solid understanding of diverse machine learning algorithms: regression, classification, clustering, time series, NLP, deep learning
3+ years of experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP)
1+ years of experience in utilizing GenAI techniques such as LLMs for complex business problems. Familiar with prompt engineering and optimization techniques for generative AI models.
Solid knowledge of software engineering best practices (version control, CI/CD, code reviews)

Preferred Qualifications:

Master's degree or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related quantitative field
Industry Experience with MLOps practices and tools for model deployment, monitoring, and maintenance in production environments
Demonstrated expertise in fine-tuning and deploying large language models (LLMs) for enterprise applications
Proficient with vector databases and retrieval-augmented generation (RAG) techniques for enhancing LLM performance
Proficient with containerization technologies (Docker, Kubernetes) for scalable ML solutions
Track record of leading cross-functional data science projects that delivered measurable business impact
Contributions to open-source projects, research publications, or patents in relevant fields
Experience mentoring junior data scientists and providing technical leadership
Knowledge of data privacy/security best practices, and relevant regulations (GDPR, CCPA, etc.)

Benefits & Compensation

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

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College of Computing & Data Science International Postdoctoral Fellow

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The College of Computing & Data Science (CCDS) International Postdoctoral Fellowship (IPF), supported by Ministry of Education, provides opportunity for young outstanding Singaporeans to pursue an academic career in computing, artificial intelligence, and data science at the Nanyang Technological University (NTU), by supporting their postdoctoral fellowship abroad.

During the period of the postdoctoral fellowship, the successful candidates will be employed as Research Fellows in CCDS. The appointment will take effect one month before they officially commence their IPF, for which they will be fully sponsored and granted paid study leave of up to two [2] years. Upon successful completion of the postdoctoral fellowship, they will be appointed as tenure-track Assistant Professors of the University.

The successful candidates are expected to develop and contribute domain knowledge, research skills and expertise at the host university while fulfilling the requirements of the CCDS IPF. They will also actively seek out collaborative research opportunities with NTU faculty and to participate in research projects, thereby deepening the strategic collaboration between NTU and the overseas university.

Fellowship Eligibility:

Applicants must possess (1) at least a Second Upper Class Honours Bachelor of Science or Engineering or equivalent qualification and (2) a PhD degree in Science or Engineering, from reputable universities including NTU.
Applicants must have proof of excellence in research.
Applicants should aspire to develop successful academic career.
Applicants are Singapore Citizens.

Further information on the programme – including the application form, programme structure, mentorship, service agreement, application process – can be downloaded here.

The application deadline is 31 December 2025. The Evaluation Committee will only start reviewing applications after the closing date.

Do submit all applications via NTU Workday by clicking the “Apply” button.

All late or incomplete applications will not be considered.

If applicants have further queries, please email to <CCDS-IPF@ntu.edu.sg>.

Hiring Institution: NTU","hiringOrganization":{"@type":"Organization","name":"Nanyang Technological University","sameAs":"https://www.ntu.edu.sg/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NTU Main Campus, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Principal Engineer I - Common Services","datePosted":"2025-09-23","description":"

Job Title:

Principal Engineer I - Common Services

Location:

Block 23

What You'Ll Do:

As a Principal Engineer I, you'll provide SME expertise in your respective domain as well as adjacent domains to ensure solutions are safe, secure, compliant and reliable. You'll identify development and support needs as well as take on large and complex design responsibilities supporting project tasks. You'll also engage with project and business sponsors refining requirements and objectives of targeted solutions. As a Principal Engineer I, you also facilitate dialogue and activities, and work to ensure team collaboration including teams outside of your domain. You'll develop effective presentations and narratives for IT audiences. In this role, you'll also develop the technical skills of one more junior engineers.

Design and implement cloud-native solutions (preferably Azure) to migrate, replace and enhance existing applications.
Troubleshoot and resolve complex technical issues related to Azure Functions, serverless integrations, and cloud infrastructure.
Administer and support Twilio SendGrid and internal messaging platform.
Build the solution design of efforts that can be handed off to lower-level engineers for execution assuring reuse of platforms where possible.
Review technical plans developed by lower-level engineers and analysts to assure quality designs prevail which can support the volumetrics of our business partners objectives.
Build comprehensive measurement dashboards that give performance insight into key applications of the bank which can feed operational results of our business partners.
Work independently or sometimes with architecture team counterparts to lay out the final documentation required for proper ongoing reference of the given solution, including physical and logical layouts with cross reference to use case models while enforcing standards, as well as assisting in the modification or buildout of procedures that support areas of operations across IT.

What You'Ll Need:

8+ years of related experience.
Bachelor's degree in related field required, Masters or MBA in related field preferred.
Experience with Azure-specific serverless services (e.g., Azure Functions, App Service, Service Bus) is required.
Proficiency in programming languages (e.g., C#, Java, JavaScript/TypeScript, Python) is required.
Experience with Twilio SendGrid platform is preferred.
Experience leveraging process orchestration tools such as Control-M is preferred.
Experience with CI/CD, agile development methodologies and iterative product enhancement is preferred.
Previous leadership experience preferred.
Advanced to expert knowledge of general Financial Services or Banking is preferred.
Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.
Advanced to expert experience in leading cross-functional teams and managing multiple projects simultaneously with an established expertise in one or more key domains of the bank (Deposits, Loans, Operations or Reporting) with the ability to walk-through top-level process design. Capable of working with regulatory partners like the CFPB, OCC and FRB through audits and collaboration efforts as situations arise.
Advanced to expert familiarity with the capability model across IT and the applications and infrastructures available for engagement in solutioning across the bank to develop results that leverage existing capabilities in addition to implementing new solutions when required. Experience in the design, enhancement and compliance to all governance frameworks across the IT organization to ensure proper compliance with published procedures and standards.
Documentation skills, with a track record of producing clear, comprehensive technical and process documentation for both technical and non-technical audiences are required.
Advanced speaking and writing communication skills.

Benefits you’ll love:
We offer all the important things you'd want — like competitive salaries, an ownership stake in the company, medical and dental insurance, time off, a great 401k matching program, tuition assistance program, an employee volunteer program, and a wellness program. In addition, you’ll have the opportunity to bolster your business knowledge, learning the ins and outs of how successful companies operate and manage their finances, giving you invaluable hands-on experience to help grow your career!

About The Company:

Western Alliance Bank is a wholly owned subsidiary of Western Alliance Bancorporation. Alliance Bank of Arizona, Alliance Association Bank, Bank of Nevada, Bridge Bank, First Independent Bank, and Torrey Pines Bank are divisions of Western Alliance Bank; Member FDIC. AmeriHome Mortgage is a Western Alliance Bank company.

Western Alliance Bancorporation is committed to equal employment and will consider all qualified applicants without regard to race, sex, color, religion, age, nation origin, marital status, disability, protected veteran status, sexual orientation, gender identity or genetic information. Western Alliance Bancorporation is committed to working with and providing reasonable accommodations for individuals with disabilities. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process and/or need an alternative method of applying, please email HR@westernalliancebank.com or call 602-386-2488. When contacting us, please provide your contact information and state the nature of your accessibility issue. We will only respond to inquiries concerning requests that involve a reasonable accommodation in the application process.

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We are currently seeking a Clinical Data Science Associate to join our diverse and dynamic team. As a Clinical Data Science Associate at ICON, you will play a key role in analyzing and interpreting clinical trial data, providing valuable insights that support our research efforts. You will contribute to the success of our clinical programs by applying data science techniques to enhance data quality and drive informed decision-making.

What You Will Be Doing:

Conducting statistical analyses and data visualizations to identify trends and patterns in clinical trial data.
Collaborating with cross-functional teams to ensure data integrity and adherence to study protocols.
Assisting in the development of analytical models and tools to improve data analysis processes.
Preparing reports and presentations that effectively communicate findings to stakeholders.
Staying updated on industry trends and advancements in data science to contribute to innovative practices.

Your Profile:

Degree in statistics, data science, life sciences, or a related field.
Experience in data analysis, preferably within a clinical research environment.
Strong knowledge of statistical software and data visualization tools.
Attention to detail and a commitment to data quality and accuracy.
Excellent communication and teamwork skills, with the ability to collaborate effectively across diverse teams.

What Icon Can Offer You:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

Our Benefits Examples Include:

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs.
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
Life Assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

Are you a current ICON Employee? Please click here to apply

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A Day In The Life

Job Responsibilities may include the following and other duties may be assigned:

Model Design & Development
Cross-functional Collaboration
Model Evaluation & Deployment & Monitoring
Continuous Innovation
Design, develop, and implement statistical models, machine learning /deep learning algorithms and AI techniques to solve complex business problems and drive commercial excellence (e.g.: sales data, patient data, CRM data, etc.,.).
Translate model results into actionable insights to support business objectives.
Collaborate closely with internal cross-functional teams (e.g.: Finance, Marketing, IT, Sales, etc.,.) to understand business problems and ensure deliverables are highly aligned with commercial requirements.
Document and communicate solutions to both technical and non-technical stakeholders.
Optimize and fine-tune machine learning/LLM models for performance and accuracy.
Use software design principles to develop production ready code and deploy in production environments.
Keep tracking and continuously monitor model performance.
Stay up to date with the latest advancements in data science.
Evaluate new technologies that have opportunities to bring new values to the company and apply to projects.
Mentor and guide other junior data scientists.

Required Knowledge And Experience:

Bachelor’s degree from an accredited institution in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of industry experience of applying data science, AI, and advanced analytics to real-world business problems.
5+years of experience and strong proficiency in Python and popular data science ecosystem such as Spark MLlib, Keras, PyTorch, HuggingFace Transformers, scikit-learn, spacy, etc..
5+years of experience and strong proficiency with SQL and data manipulation in various database environments
Solid understanding of diverse machine learning algorithms: regression, classification, clustering, time series, NLP, deep learning
3+ years of experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, or GCP)
1+ years of experience in utilizing GenAI techniques such as LLMs for complex business problems. Familiar with prompt engineering and optimization techniques for generative AI models.
Solid knowledge of software engineering best practices (version control, CI/CD, code reviews)

Preferred Qualifications:

Master's degree or PhD in Data Science, Machine Learning, Statistics, Computer Science, or related quantitative field
Industry Experience with MLOps practices and tools for model deployment, monitoring, and maintenance in production environments
Demonstrated expertise in fine-tuning and deploying large language models (LLMs) for enterprise applications
Proficient with vector databases and retrieval-augmented generation (RAG) techniques for enhancing LLM performance
Proficient with containerization technologies (Docker, Kubernetes) for scalable ML solutions
Track record of leading cross-functional data science projects that delivered measurable business impact
Contributions to open-source projects, research publications, or patents in relevant fields
Experience mentoring junior data scientists and providing technical leadership
Knowledge of data privacy/security best practices, and relevant regulations (GDPR, CCPA, etc.)

Benefits & Compensation

About Medtronic

Learn more about our business, mission, and our commitment to diversity here

","hiringOrganization":{"@type":"Organization","name":"Medtronic","sameAs":"https://www.medtronic.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"IND-MH Pune Viman Nagar, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Lead Clinical Data Science Programmer","datePosted":"2025-09-23","description":"Lead Clinical Data Science Programmer (Rave+Custom Function)

We are currently seeking a Lead Clinical Data Science Programmer to join our diverse and dynamic team. As a Lead Clinical Data Science Programmer at ICON, you will play a key role in designing and developing clinical data solutions, ensuring the efficient handling, analysis, and reporting of complex clinical trial data. You will collaborate with cross-functional teams to drive data-driven insights that support the advancement of cutting-edge therapies and innovative clinical research.

What You Will Be Doing:

Leading the design, development, and validation of data science programming solutions for clinical trials.
Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and analysis plans.
Programming and validating datasets, tables, listings, and figures (TLFs) according to study requirements.
Ensuring the accuracy, consistency, and integrity of clinical data through rigorous quality control and validation checks.
Mentoring and guiding junior programmers and providing technical leadership within the data science programming team.

Your Profile:

Bachelor’s or advanced degree in computer science, biostatistics, data science, or a related field.
Extensive experience in clinical data programming, with proficiency in SAS, R, or other relevant programming languages.
In-depth knowledge of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements.
Strong analytical and problem-solving skills, with a focus on data accuracy and quality.
Excellent communication and leadership skills, with the ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.

What Icon Can Offer You:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

Our Benefits Examples Include:

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs.
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
Life Assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

Are you a current ICON Employee? Please click here to apply

","hiringOrganization":{"@type":"Organization","name":"ICON plc","sameAs":"https://www.iconplc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India, Chennai","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Data Science Engineer I","datePosted":"2025-09-23","description":"

Sabre is a technology company that powers the global travel industry. By leveraging next-generation technology, we create global technology solutions that take on the biggest opportunities and solve the most complex challenges in travel. 

Positioned at the center of the travel, we shape the future by offering innovative advancements that pave the way for a more connected and seamless ecosystem as we power mobile apps, online travel sites, airline and hotel reservation networks, travel agent terminals, and scores of other solutions.

Simply put, we connect people with moments that matter.

Development & Engineering General Job Description (MUST BE EDITED FOR SPECIFIC JOB POSTING):

Team Description

Sabre is seeking a talented XXX to support the XXX Team/ Project. This person will report to the XXX.

Team/ Project description……

At Sabre, we’re passionate about building software that solves problems. In this role you will plan, design, develop and test software systems or applications for software enhancements and new products including cloud-based or internet-related tools.

Role and Responsibilities:

Develops, codes, tests and debugs new complex software solutions or enhancements to existing product
Designs, plans, develops and improves applications using routine and advanced technology
Works on issues where analysis of situations or data requires an in-depth knowledge of organizational objectives. Implements strategic policies when selecting methods, techniques
Encourage high coding standards, using best practices and high quality
Regularly interacts with subordinate supervisors, architects, product managers, HR, on matters concerning projects, or team performance. Requires the ability to change the thinking of, or gain acceptance from others in sensitive situations, without damage to the relationship
Provides technical mentorship and cultural/competency-based guidance to teams
Provides larger business/product context. Mentors on specific tech stacks/technologies

Qualifications And Education Requirements:

Minimum X years of related experience
Degree in XXXX/ equivalent certifications
Experience in fast paced Software Development in Agile environment
Experience and expertise in advanced XXXX programming and solutioning
Knowledge of programming in XXXX environment
Excellent problem solving and analytical skills
Very good knowledge of XXXX (tech stack)
Knowledge of cloud based tech/languages, technology stacks, etc.
Proficient English, both written and verbal
Self-disciplined and commitment oriented

We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as we progress your application.

Please note that only candidates who meet the minimum requirements will proceed in the selection process.

#LI-Hybrid#LI-AK1","hiringOrganization":{"@type":"Organization","name":"Sabre Corporation","sameAs":"https://www.sabre.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland - Poland -Tischnera","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Data Science","datePosted":"2025-09-22","description":"

Company Description

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
Perform all of the necessary data transformations to serve products that empower data-driven decision making.
Build and manage data pipelines, design and architect databases.
Establish efficient design and programming patterns for engineers as well as for non-technical partners.
Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
Ensure best practices and standards in our data ecosystem are shared across teams.
Understand the analytical objectives to make logical recommendations and drive informed actions.
Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
Be a self-starter, Initiate and drive projects to completion with minimal guidance.
Contribute to engineering innovations that fuel LinkedIn's vision and mission.

Qualifications

Basic Qualifications

Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
3+ years of relevant industry or relevant academia experience working with large amounts of data
Experience with SQL/Relational databases
Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript)

Preferred Qualifications

BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data
MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience in developing data pipelines using Spark and Hive.
Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.).
Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
Deep understanding of technical and functional designs for relational and MPP Databases
Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc.
Knowledge of Unix and Unix-like systems, version control systems such as Git.

Suggested Skills

Distributed Systems
ETL
Data Modeling

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you
Having interviews in an accessible location
Being accompanied by a service dog
Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance 

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement 

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates 

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

","hiringOrganization":{"@type":"Organization","name":"LinkedIn","sameAs":"https://www.linkedin.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Data Science Manager, Ads Delivery","datePosted":"2025-09-22","description":"

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

What You'Ll Do:

Build, inspire and grow a high performance team of data scientists that are thought partners to the teams that run Pinterest’s ads stack.
Strong causal inference/marketplace knowledge with a deep understanding of how ML models drive business.
Work with product and engineering partners help identify and answer important “why and how” questions. Lead the team to structure ambiguous technical challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Drive data-driven decision-making aligned with the organization's strategic objectives.
Communicate complex findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
Be a champion for building highly talented and diverse teams with an inclusive culture.

\n\n

What We'Re Looking For:

MS or PhD in a quantitative field or equivalent experience.
Experience in managing small teams of highly technical scientists, fostering a culture of innovation, collaboration, and continuous improvement.
Hands on experience as a data scientist, research scientist, applied scientist, or machine learning engineer in a technology company.
Effective written and verbal communication skills.
Experience with hypothesis driven product development.
Experience being a thought partner to improve decision quality and able to influence with expertise.
Industrial experience with ads product and metrics.

\n\n

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.

\n\n

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

\n\n

#Li-Nm4

#Li-Remote

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$163,064—$335,720 USD

Our Commitment To Inclusion:

\nPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"Team Lead, Data Science (Generative AI)","datePosted":"2025-09-22","description":"

Who We Are:

\nGeotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.\n \nGeotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.\n \nOur team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who You Are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Science Team Lead who will lead a technical team of data scientists to gain useful insight from raw data, plan projects, and build analytical models. If you love technology and are keen to join an industry leader — we would love to hear from you!

What You'Ll Do:

As a Data Science Team Lead, your key area of responsibility is to be accountable for the end-to-end implementation and deployment of advanced Generative AI solutions, including the design, development, and optimization of complex data models. This position drives cross-functional projects, ensuring the team's work directly aligns with core organizational goals to deliver innovative products and services in the telematics industry. With a strong blend of technical expertise and leadership, this position upholds a high technical standard for the team's output while leveraging strong problem-solving and statistical analysis to ensure all data products meet critical business needs. This position will receive strategic guidance from the senior leadership of the department while owning the technical delivery and mentoring the team to reach their full potential.

How You'Ll Make An Impact:

Lead Geotab’s Generative AI Engineering team in developing a clear technical roadmap. Translate strategic business goals into actionable and innovative Generative AI solutions for the telematics industry.
Design and implement robust, scalable, and secure architectures for AI-powered systems. Ensure solutions are optimized for performance, efficiency, and safety, while balancing critical considerations like AI safety and latency.
Research, develop, and implement novel Generative AI powered solutions. Champion advanced techniques such as prompt engineering and Retrieval Augmented Generation (RAG) to solve complex business challenges.
Establish and maintain a high technical bar for the team's output. Lead the design of objective evaluation systems to rigorously assess model quality, performance, and user experience.
Continuously monitor and integrate cutting-edge advancements in generative AI, deep learning, and prompt engineering into the development lifecycle. Actively engage with the broader AI research community to bring in best practices and new methodologies.
Serve as the primary technical subject matter expert, guiding the GenAI engineering team on a day-to-day basis and providing hands-on support for complex technical challenges.
Actively mentor and coach team members on best practices in AI product development, providing timely and constructive feedback to support their professional growth.
Manage communication with cross-functional stakeholders, translating complex technical insights into clear, actionable reports and presentations. Ensure comprehensive documentation of research, methodologies, and model designs is maintained.
Drive the recruitment and hiring of top-tier data scientists for the Ace team, assessing both technical skills and cultural fit.
Encourage and enable the team to experiment with new technologies and methodologies, making pragmatic trade-offs to meet project goals while fostering a culture of continuous learning.

What You'Ll Bring To This Role:

Bachelor's Diploma/Degree specialization in Computer Science, Data Science, Mathematics, or a related field.
Minimum of 3+ years of relevant industry experience in a data science or machine learning role.
Experience in a team leadership or senior-level role, including mentoring junior data scientists.
Hands-on experience with the entire lifecycle of a Generative AI project, from development to production deployment.
Expertise in modern Generative AI and LLMs, including transformer architectures, prompt engineering, and RAG systems.
Expert proficiency in Python, LangGraph, LangChain and SQL
Comprehensive understanding of machine learning principles, statistical analysis best practices.
Experience designing scalable AI architectures on cloud platforms (GCP, Azure).
Prior experience in telematics, IoT, or large-scale data systems is a strong plus.

\nIf you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.\n \nPlease note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.\n \n

Why Job Seekers Choose Geotab:

\n\n\n

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

\n\n\n

How We Work:

\nAt Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!\n \nWe believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.","hiringOrganization":{"@type":"Organization","name":"Geotab","sameAs":"https://www.geotab.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakville, Ontario - Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Principal Engineer - Test (Development)","datePosted":"2025-09-22","description":"

Company Description

https://wd5.myworkdaysite.com/en-US/recruiting/microchiphr/External/job/Principle-Engineer---Test--Development-_R1559-25

**Please select Microchip Recruiter as your source**

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you.

Visit our careers page to see what exciting opportunities and company perks await!

Job Description

Microchip Technology Inc. is a leading provider of embedded control applications. Our product portfolio comprises general purpose and specialized 8-bit, 16-bit, and 32-bit microcontrollers, 32-bit microprocessors, field-programmable gate array (FPGA) products, a broad spectrum of high-performance linear, mixed-signal, power management, thermal management, radio frequency (RF), timing, safety, security, wired connectivity and wireless connectivity devices, as well as serial Electrically Erasable Programmable Read Only Memory (EEPROM), Serial Flash memories, Parallel Flash memories, and serial Static Random Access Memory (SRAM). We also license Flash-IP solutions that are incorporated in a broad range of products.

Microchip Technology Inc. has a Principal Engineer-Test opening based in San Jose, CA. The successful candidate will be responsible for the below functions.

Define and implement embedded firmware and integrated circuit test solutions for next generation FPGA SOC products.
Work with senior team members and Design teams to define custom test firmware, Design-For-Test (DFT) features, Built-In-Self-Test (BIST), structural and functional test methods and pre-silicon test validation.
Develop custom test generation software, embedded firmware and ATE test hardware to ensure fast silicon bring-up cycle time, test coverage and product cost goals.
Debug and bring up new test programs and hardware on first silicon and stabilize initial manufacturing test.
Release and transfer new product test programs and hardware to Operations.

Qualifications

BSEE / BSCE with 10 years of experience or MSEE / MSCE with 7.5 to 9 years of experience.
In depth knowledge of programming in C/C++, JAVA, or similar language.
In depth knowledge of CMOS digital or analog circuit operation and characteristics.
In depth knowledge of Verilog, logic design and simulation
Knowledge of VLSI test methods such as Built In Self Test, Memory March patterns, ATPG, Stuck-At Fault modeling is a plus.
Capable of operating ATE and basic bench equipment, DVM, oscilloscope, logic analyzer, etc..

Additional Information

Travel Time:

0% - 25%

Physical Attributes:

Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others

Physical Requirements:

10% standing, 10% walking, 80% sitting; 100% In doors; Usual business hours.

Pay Range:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive base pay, restricted stock units, and quarterly bonus payments. In addition to these components, our package includes health benefits that begin day one, retirement savings plans, and an industry leading ESPP program with a 2 year look back feature. Find more information about all our benefits at the link below:

Benefits of working at Microchip

The annual base salary range for this position, which could be performed in California, is $70,000 - $163,000.*

*Range is dependent on numerous factors including job location, skills and experience.

Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

","hiringOrganization":{"@type":"Organization","name":"Microchip Technology Inc.","sameAs":"https://www.microchip.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, CA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Business Intelligence & Data Science Analyst","datePosted":"2025-09-22","description":"

About Cozey

At Cozey, we’re all about empowering possibilities in your home and making furniture shopping as easy and enjoyable as possible. Our thoughtfully designed, stylish furnishings adapt to evolving lifestyles, combining innovation with a commitment to great value and customer service. As a fast-growing, online-first brand, our success is driven by a team that shares our passion for redefining the furniture experience.

The Mission of the Business Intelligence & Data Science Analyst at Cozey

As a Business Intelligence & Data Science Analyst on the Demand & Supply Planning team, you’ll transform raw data into clear insights that keep our inventory healthy and our customers happy. By building dashboards, automating workflows, and driving data-informed decisions, you’ll help ensure the right products are in the right place at the right time, preventing out of stocks, and optimizing allocation across channels.

What you'll be doing

Collect, process, and integrate datasets from multiple sources, defining clear metric definitions and data contracts to ensure accuracy, consistency, and discoverability.
Build BI-ready data models (dimensions, facts, semantic layers) that support scalable analytics and straightforward visualization.
Analyze complex data to uncover trends, risks, and opportunities; translate ambiguous business questions into measurable metrics and actionable insights.
Develop trusted, reusable queries and self-serve analytical resources that empower partners to independently answer common questions.
Design, build, and maintain dashboards, reports, and certified data sources that provide one version of the truth and enable consistent decision-making.
Streamline recurring analyses by automating workflows through scripting, scheduling, and other scalable solutions.
Collaborate with business leaders to understand goals, prioritize analytical work, present findings in reviews, and influence decisions.
Ensure data reliability through quality checks, monitoring, and documentation of runbooks and usage guidelines.

We'd love to hear from you if you have

3+ years of experience in BI, data analysis, or analytics engineering, with proven ability to deliver dashboards, reporting, and automation.
Strong skills in SQL, Excel, and modern BI tools (e.g., Tableau, Power BI, Looker)
Experience automating workflows and recurring analyses using Excel (Power Query, VBA) and/or scripting (Python).
Ability to translate data into clear insights and recommendations through strong analytical and storytelling skills.

We care about you

You will receive a competitive salary along with a comprehensive benefit package.
Endless opportunities for personal and professional growth in a fast-growing start-up.
A generous PTO policy that allows you the time you need to recharge.
A role where your strategies and decisions directly influence the company’s operations and growth.
A workspace where everyone is welcomed, heard, and valued.

","hiringOrganization":{"@type":"Organization","name":"Cozey","sameAs":"https://www.cozey.ca/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote (Canada)","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Master's Data Science Internship 2026 (USA)","datePosted":"2025-09-22","description":"

About Pinterest:

With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

Note To Applicants:

By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

May 18, 2026 - August 7, 2026
June 15, 2026 - September 4, 2026

We’re looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners.

The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products.

What You’Ll Do:

Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics.
Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

What We’Re Looking For:

Currently pursuing a Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field.
Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R)
experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
Excellent communication skills and the ability to explain learnings to both technical and non-technical partners
Ability to connect data analysis to real business problems, in order to impact business performance.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $11,000 monthly.

#Li-Hybrid

Our Commitment To Inclusion:

\nPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.","hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Director Risk Data Science","datePosted":"2025-09-22","description":"

Company Description

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Director of Risk Data Science is one of the risk roles in the Central Europe, Middle East and Africa (CEMEA) Data Science risk team. We are seeking an innovative and analytical thinker to champion our data-driven strategies within the region. As a Data Science Director, you will participate in building predictive and prescriptive models, and develop context-based prototypes and high-impact storyboards that promote data-driven strategies and solutions for Visa clients. The position will primarily focus on engagements in the area of credit, fraud and operational risks, deep risk analytics, risk scoring as well as forecasting solutions.

Principal Responsibilities

Work entails heavy focus on developing and implementing best-in-class risk analytic solutions, inclusive of scoring and non-scoring models. Create and deliver powerful insights from data through better visualization and storyboarding
Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organisations to strategise, co-create, deploy and reap the benefits of data-driven solutions
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visas growth in the region
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
Ability to quickly understand and process alternate/non-conventional data sources/platforms and develop AI based advanced prediction algorithms
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
Review, direct, guide, and inspire the analytical work of junior members in the team. Manage the India risk DS team who will be reporting directly into
Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms, data, and the broader Visa ecosystem to support our clients technical data needs
Manage workload for self and direct reports, providing prioritization guidance for project flow to improve process efficiency
Develop, share, and build global best practices and knowledge management within the team
Socialize innovative ideas and approaches that are scalable and have market demand
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
\n•10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
\n
\nPreferred Qualifications
\n•Minimum of 12 years of expertise in applying Machine Learning & Deep Learning solutions to business problems especially risk management– model development and production experience required. Minimum of 5 years of experience in people management
\n•Post-graduate degree (Masters or PhD) in quantitative fields such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering
\n•Excellent knowledge, experience and understanding of quantitative techniques (modelling, statistics, root-cause, etc.) applied to Risk Management with a focus on Card and Payments. Familiarity with key Risk and Performance Indicators. Experience working in one or more of the Card & Payments markets around the globe, with specific responsibilities in payments, retail banking, or retail merchant industries
\n•Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product
\n•Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems
\n•Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation
\n•Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
\n•Proven ability to deliver results within committed scope, timeline and budget
\n•Very strong project management skills and experience
\n•Ability to travel within CEMEA on short notice
\nTechnical Expertise
\n•Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
\n•Strong understanding and experience of modern technology stack and microservice architecture including Kotlin, Spring boot, PostgreSQL, Kafka, AWS
\n•Relevant experience of engineering unstructured/structured data from Telco, Supermarket, Social Media, Online logs, E-commerce, etc is preferrable
\n•Ability to write scratch MapReduce jobs and fluency with Spark frameworks
\n•Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDEs (Jupyter Notebooks), proficiency in SAS technologies and techniques is preferred
\n•Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
\n•Experience in drafting solution architecture frameworks that rely on APIs and micro-services
\n•Familiarity with common data modeling approaches and ability to work with various datatypes including JSON, XML, etc.
\n•Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
\n•Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, Bagging and Boosting algorithms, etc.
\n•Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
\nLeadership Competencies
\n•Demonstrates integrity, maturity and a constructive approach to business challenges
\n•Serves as a role model for the organization by implementing core Visa Values
\n•Shows respect for individuals at all levels in the workplace
\n•Strives for excellence and extraordinary results
\n•Uses sound insights and judgments to make informed decisions in line with business strategy and needs
\n•Able to allocate tasks and resources across multiple lines of businesses and geographies
\n•Able to influence senior management both within and outside Data Science
\n•Successfully persuading internal stakeholders to commit to best-in-class solutions, when required
\n•Leverages change management leadership as required

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