> Markdown version of [/jobs/ext/3886450-principal-forward-deployed-engineer-data-science](https://www.wearedevelopers.com/jobs/ext/3886450-principal-forward-deployed-engineer-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Forward Deployed Engineer - Data Science - **Company:** Microsoft - **Location:** Redmond, WA, United States - **Experience:** Expert - **Salary:** $142,800.0 - $274,800.0 - **Contract:** Permanent contract - **Skills:** Unstructured Data, Information Technology - **Published:** October 23, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3466534904&tx=YT1111TTV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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., * Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. * 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. * Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. * Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end. * Enjoy travel and are comfortable with travel up to 25% Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. ## Description * Drive customer outcomes by shaping opportunities and translating business needs into clear, actionable technical approaches * Build and deliver production-grade solutions in customer environments, demonstrating strong engineering execution and end-to-end ownership * Accelerate time to value by operating effectively in ambiguity and delivering iterative, high-impact solutions * Engage and influence senior stakeholders to build trust, align priorities, and guide technical and business decision-making * Apply industry and customer context to tailor solutions and move beyond generic approaches * Prepare and transition work to FDE crews with clear scope and strong technical direction, maintaining continuity across the engagement lifecycle * Operate with an entrepreneurial mindset to navigate complex account dynamics, set boundaries, and drive urgency and accountability.