Senior Data Scientist

Microsoft-posted about 4 hours ago
Full-time • Mid Level
Redmond, WA
5,001-10,000 employees
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If you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape. The IDEAS Data Science team (Business Pillar) specializes in transforming complex data into actionable business insights. Our focus is on building robust analytical frameworks and predictive models that drive strategic decisions across the organization by integrating various cross-signals. By leveraging advanced data engineering, statistical analysis, and machine learning, we deliver accurate business metrics, optimize performance, and uncover growth opportunities. Our mission is to empower stakeholders with data-driven intelligence that fuels innovation and operational excellence. As a Senior Data Scientist, you will work on advanced analytics initiatives to drive business insights and strategic decisions. You will design and implement scalable data solutions, apply rigorous statistical methods, and develop predictive models that influence product and business outcomes. This role requires technical depth and, business acumen to influence business outcomes. 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.

  • Statistical Analysis & Hypothesis Testing
  • Design and execute controlled experiments to validate hypotheses.
  • Apply advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights.
  • Communicate limitations and confidence intervals clearly to stakeholders.
  • Model Development & Deployment
  • Develop predictive and prescriptive models using machine learning and AI techniques.
  • Ensure models are production-ready, maintainable, and aligned with privacy and compliance standards.
  • Monitor model performance and iterate based on telemetry and feedback.
  • Data Engineering & Infrastructure
  • Build ad hoc and production ready data pipelines for large-scale, diverse datasets.
  • Partner with Data Engineering teams to ensure robust, secure, and scalable data infrastructure.
  • Implement best practices for data quality, governance, and monitoring.
  • Business Impact
  • Translate complex analytical findings into clear business recommendations.
  • Influence product and strategy decisions through data-driven insights.
  • Collaborate with cross-functional teams to align analytics with organizational goals.
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ years 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
  • 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
  • 2+ years of experience with written and verbal communication to educate and work with cross functional teams.
  • 1+ year of experience in delivering on ambiguous projects with incomplete or imperfect data.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years 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 5+ years 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
  • 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
  • Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems.
  • Experience with programming skills, e.g. Java, C#.
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