Principal Forward Deployed Engineer - Data Science
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Role details
Tech stack
Job description
As aPrincipal Forward Deployed Engineer - Data Science, you will be a customerembedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through handson execution and multidisciplinary expertise. In this role, you will build and ship productiongrade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with speed in complex, fastmoving environments. This is a senior individual contributor role requiring strong technical depth, credibility with senior stakeholders, industry context, and an entrepreneurial approach to navigating ambiguity and delivering sustained impact over time.
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
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Drive customer outcomesby shaping opportunities and translating business needs into clear, actionable technical approaches
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Build and deliver production-grade solutionsin customer environments, demonstrating strong engineering execution and end-to-end ownership
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Accelerate time to valueby operating effectively in ambiguity and delivering iterative, high-impact solutions
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Engage and influence senior stakeholdersto build trust, align priorities, and guide technical and business decision-making
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Apply industry and customer contextto tailor solutions and move beyond generic approaches
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Prepare and transition work to FDE crewswith clear scope and strong technical direction, maintaining continuity across the engagement lifecycle
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Operate with an entrepreneurial mindsetto navigate complex account dynamics, set boundaries, and drive urgency and accountability.
Requirements
- 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.
About the company
In the Microsoft Frontier Company Engineering team, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations.
We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months.
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