Senior Data Scientist

The data team in Time and Places is looking for a Senior Data Scientist to join our data science team / insights and intelligence team. In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business!

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

• Lead the design and execution of analytical frameworks to evaluate and optimize Product investments.
• Partner with data scientists, product managers, and engineers to define successful metrics.
• Develop dashboards and reporting pipelines to monitor feature health and experimentation outcomes, ensuring data quality and operational excellence.
• Influence product strategy by translating complex data into actionable insights that inform roadmap decisions and feature prioritization.

Qualifications

Required Qualifications: 

• 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 stechniques 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.
• 1+ year experience using SQL, R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.).
• Experience in stakeholder management through effective prioritization, clear communication, and delivery of actionable, data-driven insights; possesses deep expertise in A/B testing and leveraging data to guide and influence product decisions

Preferred Qualifications: 

• 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.
• Experience working with large, distributed data sets to derive actionable insight.
• Expereince in big data programming language.
  
• Experience with experimentation design, prompt engineering, and LLM evaluation.
• Experienc