As a Principal Data Scientist at Microsoft, you will lead the end-to-end delivery of strategic data science projects, partnering with customers and internal teams to design and implement advanced analytics and AI solutions. This role combines technical expertise with consulting and stakeholder engagement to drive data-driven strategies that create measurable business impact. You will also mentor the next generation of data scientists while maintaining a focus on ethical standards and responsible AI principles. Join a team that values diverse perspectives and a growth mindset to innovate and deliver impactful 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 a related field AND 7+ years of data-science experience
• OR Bachelor's Degree in a related field AND 10+ years of data-science experience
• 3 to 5 years of Consulting experience
• Experience developing and deploying Agentic AI solutions

• Leverage data science and business domain knowledge to improve business performance and communicate insights with stakeholders.
• Lead the design and development of Data Science and AI solutions with a team of data scientists and engineers.
• Engage with business stakeholders to drive performance improvement using data and AI.
• Mentor and develop the next generation of data scientists.
• Acquire, prepare, and explore data while ensuring data integrity.
• Apply machine learning and statistical analysis to develop and evaluate models.
• Test and improve models by analyzing performance and incorporating feedback.
• Write and debug efficient and scalable code while collaborating with engineering teams.
• Collaborate with customers to define business needs and create roadmaps for performance improvements.
• Uphold ethical standards by emphasizing Responsible AI principles throughout the process.
• Focus on customer needs to promote adoption and build trust.
• Develop tailored solutions by leveraging in-depth knowledge of Microsoft products.
• Maintain transparency about data limitations to set realistic expectations.
• Proactively seek new knowledge and adapt to trends that improve product performance.

• 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.