Principal Forward Deployed Engineer - Data Science
AI summary of the role
Principal-level individual contributor in Microsoft's Frontier Company Engineering team, embedded with strategic customers to deliver production-grade data science solutions.
What you’ll do
- Drive customer outcomes by shaping opportunities and translating business needs into technical approaches
- Build and deliver production-grade solutions in customer environments with 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 and guide decision-making
What you’ll bring
- Doctorate + 3 years, Master's + 5 years, or Bachelor's + 7 years in data science or related field
- Experience managing structured and unstructured data, applying statistical techniques, and reporting results
- 5+ years customer-facing, project-delivery, professional services, or consulting experience
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end
Technologies
Data Science · Statistics · Econometrics · Operations Research · Machine Learning · Python · R · SQL · Data Engineering · Cloud Computing
About Microsoft
Microsoft sells cloud infrastructure, productivity software, and AI tools to enterprises and consumers globally, anchored by Azure, Office 365, and the OpenAI partnership.
Public
Source and classification
Production engineering · Evidence for this classification:
Overview 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. As a Principal Forward Deployed Engineer - Data Science, you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution and multidisciplinary expertise. In this role, you will build and ship production grade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with
More from the job description
Overview 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. As a Principal Forward Deployed Engineer - Data Science, you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution and multidisciplinary expertise. In this role, you will build and ship production grade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with speed in complex, fast moving 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 goal [... source excerpt omitted ...] . 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 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 indust [... source excerpt omitted ...] ng continuity across the engagement lifecycle Operate with an entrepreneurial mindset to navigate complex account dynamics, set boundaries, and drive urgency and accountability. Qualifications Required/minimum qualifications 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., mana
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