Senior Applied Data Scientist

Job description

Join M365 AI Experiences Data Platform to build the privacy first, experimentation driven data intelligence platform powering M365 Agents, People Experiences, and Windows Companions Apps.

As we launch new capabilities across the ecosystem, you’ll turn raw, privacy safe signals into unified telemetry and actionable insights that let us ship faster through continuous experimentation, helping millions accomplish more every day.

From industry leading “eyes off” analytics and deep behavioral understanding to mapping cross app workflows and measuring real productivity gains, you’ll architect the end to end foundation that product teams use to learn fast, decide with confidence, and build better.

If you’re obsessed with software craftsmanship and responsible innovation at massive scale, come shape how M365 understands its users, and convert that understanding into intuitive, high value experiences from first instrument to final decision.

We are seeking a **Senior Applied Data Scientist** to join our high-velocity data platform team, driving measurable business impact through advanced experimentation, analytics, and machine learning solutions.

This role is end-to-end, transforming ambiguous business questions into production-ready models and data workflows.

You will partner closely with product and engineering teams to accelerate learning, improve decision-making, and deliver scalable, privacy-preserving solutions that uphold enterprise standards.

As a key contributor, you will lead the design and analysis of rigorous A/B tests, implement causal inference methodologies, and develop privacy-aware analytics pipelines.

You will own the full lifecycle from prototyping and validation to deployment and monitoring, while ensuring performance optimization and alignment with business KPIs. Your work will involve building high-throughput ETL workflows, integrating APIs, and maintaining robust data quality and compliance frameworks.

Beyond technical execution, this role emphasizes collaboration and leadership.

You will embed with cross-functional teams, mentor junior talent, and champion best practices in experimentation, data engineering, and operational excellence.

This is a mission-critical opportunity to shape the future of our data platform, influence strategic decisions, and drive rapid product learning at scale in a culture that values innovation, psychological safety, and continuous growth.

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.

**Responsibilities**

+ Design and analyze experiments, including A/B tests, ensuring rigor and rapid iteration.
+ Provide strategic insights to Senior Leadership Team (SLT) using statistical analysis and causal inference.
+ Develop and implement privacy-preserving analytics solutions with compliance and bias mitigation.
+ Build and maintain scalable Extract Transform Load (ETL) pipelines and production-grade analytics workflows.
+ Own end-to-end Machine Learning (ML) lifecycle: model selection, tuning, retraining, and monitoring with Continuous Integration/Continuous Deployment (CI/CD).
+ Collaborate with engineering and business teams to integrate services, optimize user experience, and deliver actionable insights.
+ Mentor team members, enforce best practices, and ensure documentation, fairness checks, and privacy safeguards.

**Qualifications**

**Required Qualifications:**

+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.

**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** :

+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ Experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

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Microsoft is an equal opportunity employer.

Consistent with applicable law, 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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .

Required Skill Profession

Other General