The Principal Data Scientist role is part of the Industry Solutions Engineering team at Microsoft, focusing on driving high-impact engineering projects with customers and partners. This position involves leveraging AI and cloud-based solutions to transform customer missions. The team collaborates closely with engineers to develop innovative solutions and contribute to open-source projects. The role requires a strong background in data science and a commitment to customer-oriented solutions.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data-science experience, OR
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data-science experience, OR
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years of data-science experience, OR
• Equivalent experience.
• Ability to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Verification of U.S. citizenship due to citizenship-based legal restrictions.

• Oversee data acquisition and ensure data is properly formatted and described.
• Coach engineers in data cleaning and analysis best practices.
• Identify gaps in current data sets and drive ethics and privacy discussions around data collection and preparation.
• Evaluate team models and recommend improvements as necessary.
• Drive best practices for models and develop operational models that run at scale.
• Conduct thorough reviews of data analysis and modeling techniques.
• Research and maintain a deep knowledge of the industry, including trends and technologies.
• Define business, customer, and solution strategy goals.
• Partner with other teams to identify and explore new opportunities.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.