Senior Data Scientist

At Microsoft, this Senior Data Scientist role supports improvements to the Microsoft consumer eCommerce experience by combining data science with emerging AI. The work focuses on building analytics and AI solutions that help teams understand customers, generate insights, and make better decisions, with a strong emphasis on translating real needs into scalable analytical approaches.

What you’ll do

• Apply data science techniques to customer and business problems, including machine learning, statistical analysis, experimentation, causal inference, segmentation, forecasting, and predictive modeling.
• Turn ambiguous business and user needs into clear analytical approaches and scalable solutions.
• Create solutions tied to users and decision-making scenarios so insights are easier to discover, understand, and act on.
• Explore and apply emerging technologies, including generative AI, large language models, and AI agents, to strengthen insight generation and analytical experiences.
• Rapidly prototype and evaluate new methods, balancing technical proficiency with speed and practical business value.
• Build and operationalize analytical and machine learning solutions in partnership with engineering and other technical teams.
• Choose the right approach for each problem, including traditional analytics, machine learning, generative AI, or combinations of techniques.
• Assess solutions using both technical quality and real-world effectiveness, including usability, adoption, decision quality, and business impact.
• Communicate analytical concepts, findings, and recommendations clearly to both technical and non-technical audiences.
• Develop reusable analytical methods, frameworks, and capabilities that can scale across users and business scenarios.
• Embody Microsoft’s culture and values.

Minimum qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
• OR Master’s degree in a related field AND 3+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results)
• OR Bachelor’s degree in a related field AND 5+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results) OR equivalent experience

Technologies you may use

• machine learning, generative AI, large language models, AI agents
• Python, SQL

Preferred qualifications

• Experience applying data science, machine learning, applied statistics, or related quantitative techniques to real-world business problems.
• Experience working with large, complex datasets using Python and SQL.
• Experience with machine learning, statistical methods, experimentation, model evaluation, and analytical problem solving.
• Experience translating ambiguous business questions into structured analytical approaches and actionable recommendations.
• Experience extending analytical work beyond analysis or model development into solutions, products, or workflows used by others.
• Experience applying generative AI, LLMs, AI agents, or other emerging AI technologies to analytics, insight generation, or business workflows.
• Experience in areas such as personalization, customer analytics, behavioral data, segmentation, recommendation systems, or experimentation.

Role details

• Location: Redmond, WA (onsite)
• Compensation (base): USD 119,800 - 261,000 per year
• Data Science IC4 typical base pay range (U.S.): USD 119,800 - 234,700 per year
• Additional location-specific range: San Francisco Bay area and New York City metro area: USD 160,200 - 261,000 per year
• Certain roles may be eligible for benefits and other compensation. Learn more: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.