Senior Applied Scientist - M365 Copilot Offline Evaluation Platform
Microsoft
Posted on Oct 23, 2025
Senior Applied Scientist - M365 Copilot Offline Evaluation Platform
Suzhou, Jiangsu, China
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Date posted
Oct 22, 2025
Job number
1898274
Work site
3 days / week in-office
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Applied Sciences
Employment type
Full-Time
Overview
Do you describe yourself as an explorer, builder, or thought leader who thinks differently and has a technical background as an applied scientist, data scientist, quantitative analyst or other analytical discipline? We are seeking trail blazers to join the Substrate Applied Data Science team in M365, where we harness the power of AI to transform how global infrastructure is understood, optimized, and scaled. Our mission is to build intelligent systems that anticipate needs, adapt in real time, and empower Microsoft 365 and Copilot to deliver seamless, resilient experiences to billions of users worldwide.
As an Senior Applied Scientist on this team, you will be at the forefront of innovation - driving technical vision, guiding strategic decisions, and delivering breakthrough solutions. You’ll harness vast business datasets, state of the art AI models, and deep infrastructure expertise to unlock transformative capabilities that power Microsoft 365 and Copilot, shaping the future of intelligent productivity for hundreds of millions of users worldwide.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Technical data analysis and modeling experience using Python/R/SQL, and experience with some statistical or machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow, MLlib, XGBoost etc.) are required.
- Proficiency in a programming language such as Python, R, C# or C++ required.
- Familiarity with databases and a query language, e.g. SQL/HiveQL/DAX/MDX required.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Familiarity with time-series forecasting a big plus.
- Familiarity with leveraging LLMs and Agentic AI are a plus.
- Experience with data-engineering basics including ETL pipelines, data-wrangling on a big data platform, e.g. Azure/AWS Data Lake/Hive a plus.
- Experience with analytics/visualization platforms such as Power BI/Tableau are a plus.
Responsibilities
- Analyze massive datasets to extract insights and prototype predictive models that forecast infrastructure capacity needs.
- Develop scalable solution pipelines to enhance the efficiency, reliability, and performance of Microsoft 365 and Copilot services.
- Leverage generative AI and agentic orchestration to build intelligent systems that address complex infrastructure challenges.
- Design and implement innovative machine learning and mathematical models to drive breakthrough optimizations.
- Collaborate with cross-functional teams—including product, engineering, and research—to align efforts and deliver high-impact solutions.
- Translate advanced research into durable, data-driven products that create lasting business value.
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.