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Senior Data Scientist

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Microsoft Corporation

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

119800.00 - 234700.00 USD / Year
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Job Description:

M365 Copilot Cadets (Customer & Analytics‑Driven Eval Team) turns real‑world customer feedback into evaluation datasets, rubrics, and insights that measurably improve Microsoft 365 Copilot quality. We connect customer scenarios, analytics, and rigorous evaluation frameworks to power a continuous feedback flywheel across Microsoft 365 Copilot to accelerate measurable product improvements. As a Senior Data Scientist part of Cadets, you will own evaluation analytics end‑to‑end: curate datasets from customer and production signals; author binary‑first rubrics; build LLM (Large Language Model)‑as‑judge graders and work on high‑quality synthetic data generation to scale evaluations with experience in human‑match rates. You’ll partner with PM/Eng/Design and VIP customers to ship quality gains and AI features with confidence.

Job Responsibility:

  • Evaluation & Feedback Analysis: Convert multi‑source feedback (dogfood, VIP customers, production traces) into a prioritized dataset of 10–100 tasks per scenario, each with prompts and golden outputs
  • maintain a living failure taxonomy prioritized by volume × impact × fixability
  • Rubrics & LLM‑as‑Judge: Author crisp, binary‑first rubrics across 7–30 dimensions (e.g., correctness/completeness, refusal calibration, tool‑use quality, formatting/contract, persona/tone, trace hygiene)
  • Build grader prompts (with few‑shots and counter‑examples) that achieve ≥80% human‑match rate, track TPR/TNR on held‑out sets, and prevent reward hacking
  • Synthetic & Human‑Labeled Data: Design structured tuples to scale high‑signal synthetic data
  • orchestrate vendor/partner annotation sprints and live calibrations to align shared judgment
  • Ensure datasets are reproducible with linked artifacts and robust metadata/trace hygiene
  • Customer‑Grounded Scenarios: Partner with PMs/solution architects to co‑develop evals with VIP customers so tasks reflect real outcomes and workflows
  • quantify lift from fixes and inform the next hill‑climb
  • Team Leadership & Ways of Working: Co‑own the Cadets “feedback flywheel” with PM/Eng (instrumentation, taxonomy, guardrails vs. evaluators) and help operationalize weekly checklists, change logs, and judge refresh cadence

Requirements:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR equivalent experience
  • Experience with building data pipelines, performing large-scale analysis, and implementing ML workflows using Python and SQL
  • Experience in developing models or designing evaluation frameworks, including A/B testing or prompt-based assessments for LLMs
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience OR equivalent experience
  • Experience building graders that score persona/tone, contract/formatting (e.g., JSON validity, schema), and tool‑use correctness
  • Background with structured synthetic data generation and vendor annotation programs
  • familiarity with judge mutation/optimization loops
  • 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
  • AI & Technical Fluency: You don't need to train models, but you know how they work, how to test them, and how to build great products on top of them
  • Experience in communication and stakeholder management skills
  • Ability to work in a fast-paced, ambiguous environment and deliver results under tight deadlines

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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