Source-listed Job

Principal Forward Deployed Engineer - Data Science

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 ex...

Job Source description available
Microsoft US Source published Oct 5, 2026 Source retrieved Oct 15, 2026
Source: Microsoft Careers · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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Principal Forward Deployed Engineer - Data Science opportunity at Microsoft
DeadlineSat Apr 3 1:39 PM 2027
EmploymentF U L L T I M E
CountryUS

Overview

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. Doctorate in Data Science, Mathema

Full job description

Full Job 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. 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.

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