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.
#CPXJOBS
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.
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