Senior Data Scientist
31 Oct 2025
Redmond, WA, USA
Verified by Turrior
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
89 / 100
Offer value
The position offers exceptional career growth potential due to its involvement in cutting-edge machine learning applications and collaboration with top-tier engineering teams.
- Cutting-edge work in AI and machine learning
- Collaboration with top experts and publication opportunities
- Requires extensive experience and advanced degree
Pros
- Access to state-of-the-art research and tools in artificial intelligence
- Collaboration with leading experts in machine learning and data science
- Strong commitment to responsible AI practices, enhancing ethical standards
Cons
- High competition for this role due to its prestige
- Required extensive experience and academic credentials
- Expectation of significant project ownership which may require long hours
Who it's for
Senior / Lead • Hybrid / office with limited travel
Good fit
- Senior data scientists with robust academic and industry background
- Professionals keen on contributing to responsible AI development
- Candidates looking for challenging and impactful work
Not recommended for
- New graduates or professionals without ML experience
- Those seeking purely remote opportunities
- Individuals averse to working in highly competitive environments
Motivation fit
Desire to innovate in AI and machine learning technologyInterest in academic publishing and responsible AIEagerness to drive significant business impact through technology
Key skills
Machine learning algorithms and model deploymentStatistical modeling and data analysisCollaboration and stakeholder engagement
Score: 89/100 AI verified analysis
About the job
Senior Data Scientist
Bangalore, Karnataka, India
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Date posted
Oct 30, 2025
Job number
1903460
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Full-Time
Overview
We are seeking a passionate and technically skilled Senior Data Scientist to join the Commerce – Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft’s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
As a Senior Data Scientist in PDX, you will be responsible for conducting applied research and development in the areas of anomaly detection, forecasting, recommendation systems and privacy preserving AI and build prototypes as well as take the algorithms all the way to production – this covers all the ML engineering aspects end-to-end including algorithm development, coding and building prototypes as well as the production-grade ML sub-systems.
Qualifications
- Bachelor’s or Master’s degree (PhD preferred) in Computer Science, Statistics, Mathematics, or related field from top institutes in India or abroad.
- 12 years of experience (for Bachelor’s degree) in applied machine learning R&D or in allied areas such as statistics, andAI, 9 years for Masters and 5 years for PhD.
- Top tier publications in ML – conferences such as NeurIPS, AAAI, ICML, ICLR, CVPR etc.
- Experience with ML frameworks, cloud platforms (Azure preferred) and big data technologies.
- Strong understanding of statistical modeling, predictive analytics, and experimentation design.
- Excellent communication and stakeholder management skills.
- Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
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Responsibilities
- Conduct original research into the areas of forecasting, anomaly detection, recommendation systems as well as privacy preserving ML/AI and agentic AI. Disseminate the research findings by publishing in top conferences such as NeurIPS, AAAI, CVPR, ICML, ICLR, etc.
- Build scalable machine learning models as part of the Commerce Platform that would act as the foundation for insights across the Commerce Platform.
- Define the scientific vision for ML/AI in the commerce platform.
- Partner with engineering and product teams to deliver business impact powered by ML Models, ensuring the models built are operable, scalable, extensible and performant.
- Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
- Lead experimentation efforts to evaluate new features, forecasting, data quality, and anomaly detection systems.
- Be a champion of responsible AI development and ensure the necessary guardrails are put in place to ensure fairness, accountability and transparency of AI/ML models
- Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
