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Principal Account-Aligned FDE Data Science

United States, Multiple Locations, Multiple Locations💼 Full-time🗓 2026-07-20 → 2026-07-31

Core

Shape opportunities and translate business needs into technical approaches to drive customer outcomes by building and delivering production-grade solutions in customer environments.

Role type

Principal Account-Aligned Data Scientist

Builds

Production-grade data science solutions for customers

Domain

Data Science / Professional Services

Deliverable

production ML models | product features

Required skills

Data science, statistical techniques, structured and unstructured data management, stakeholder engagement, solution delivery, ambiguity navigation, technical direction

Preferred skills

Entrepreneurial mindset, account dynamics navigation, iterative solution delivery

Responsibilities

Translate business needs into technical approaches, build and deliver production-grade solutions in customer environments, engage and influence senior stakeholders, tailor solutions using industry and customer context, transition work to FDE crews with clear scope

Seniority

Principal, hands-on IC with strategic account alignment

Rewrite
## About the role - 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. ## 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.
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