Microsoft

Senior Data Scientist for Copilot Evals

Microsoft • $119K — $234K *
Redmond, WA 98052In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Doctorate in Data Science or related field with 1+ years of experience, OR Master's with 3+ years, OR Bachelor's with 5+ years, OR equivalent experience.
  • Expertise in SQL and at least one analytical programming language (Python or R).
  • Solid foundation in statistical analysis, experimentation, and data visualization.
  • Experience integrating noisy quantitative and qualitative signals into actionable frameworks.
  • Ability to define and explain durable metrics and taxonomies with their limitations.

Responsibilities

  • Build a data-driven prioritization framework for quality investments.
  • Define and maintain relevant taxonomies for signal intake and reporting.
  • Measure evaluation portfolios against customer relevance and complexity.
  • Identify gaps in representation and translate into evaluation priorities.
  • Design quality gates for customer intents, including success criteria and reporting.
  • Build recurring scorecards to connect evaluations with customer metrics.
  • Analyze evaluation consistency and quality movement over time.

Benefits

  • Comprehensive health benefits for you and your family.
  • Retirement savings plan with company match.
  • Flexible work schedule and remote working options.
  • Opportunities for professional development and continuing education.
  • Employee wellness programs and resources.
Full Job Description
Overview

CADET (Customer and Analytics Driven Evals Team) is building a customer-grounded quality system for Copilot. Our mission is to rapidly identify the customer scenarios that matter most, represent them faithfully in evaluation and learning assets, run quality gates continuously, and turn every important failure into reusable product and model improvements. We bring together DSAT and other product signals, deep customer engagements to create representative eval sets. Operating in a fast-paced environment, we connect customer grounded quality issues with quality teams to advance Copilot quality and product innovation.

We are looking for a Senior Data Scientist to build the measurement and decision system that determines where CADET invests and whether Copilot is improving for the customers and intents that matter most. You will combine DSAT, usage, customer engagement, product feedback, evaluation, and other quality signals to create a representation- and coverage-aware view of customer quality. You will define the taxonomies, metrics, prioritization models, analyses, and reporting mechanisms that turn a fragmented signal landscape into clear decisions. You will synthesize quality opportunities, investigate loss patterns, shape evaluation portfolios, and ensure recurring quality gates reflect real customer experiences rather than static benchmarks.

Responsibilities

  • Build and operate a data-driven prioritization framework for CADET quality forums and partner teams that combines DSAT, customer impact, usage, severity, strategic importance, representation, and current evaluation coverage to guide quality investments.
  • Define and maintain intent, sub-intent, customer scenario, coverage, and loss-pattern taxonomies that can be used consistently across signal intake, triage, evaluation, and reporting.
  • Measure how well evaluation portfolios represent production traffic, customer segments, workflow complexity, locales, grounding paths, and material failure modes.
  • Identify underrepresented customers, intents, scenarios, and loss patterns, and translate those gaps into evaluation and data-collection priorities.
  • Design quality gates for top intents and top customers, including success thresholds, segmentation, run cadence, escalation criteria, and reporting.
  • Build recurring scorecards that connect offline evaluation movement with online measures such as DSAT, task completion, retries, abandonment, and escalation; detect meaningful quality changes; and alert accountable owners when action is required.
  • Analyze offline-online agreement, evaluation freshness, regression coverage, grader reliability, and quality movement over time.
  • Develop sampling, weighting, deduplication, clustering, and trend-detection approaches for noisy customer and product signals using resource- and performance-optimized data-analysis solutions that make effective use of CPU, GPU, and platform capacity.
  • Use causal and experimental methods where appropriate to distinguish correlation, attribution, and treatment impact, and translate the findings into concrete product, model, data, and evaluation investment decisions.
  • Partner to translate customer evidence into valid task distributions, datasets, metrics, and reward signals and to encode metrics, taxonomies, data-quality checks, and reporting into automated pipelines.
  • Leverage team signals from customer engagements to understand workflows, business impact, expected outcomes, and gaps hidden by aggregate metrics; produce clear recommendations for product, model, data, and evaluation investments; and communicate them to senior leaders.
  • Establish solid practices for data provenance, privacy, responsible use, reproducibility, and metric governance.


Qualifications

Required Qualifications:
  • 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 (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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Solid experience using data to shape product strategy and decisions in a complex, high-scale product or platform environment.
  • Expertise in SQL and at least one analytical programming language such as Python or R.
  • Solid foundation in statistical analysis, experimentation, sampling, segmentation, measurement, and data visualization.
  • Experience integrating noisy quantitative and qualitative signals into actionable prioritization or measurement frameworks.
  • Ability to define durable metrics and taxonomies, explain their limitations, and prevent misleading interpretation.
  • Demonstrated ability to communicate complex analysis clearly to technical, product, and executive audiences.
  • Experience with AI product quality, LLM or agent evaluation, DSAT or customer feedback analysis, experimentation, or model telemetry.
  • Experience designing representative datasets, coverage models, quality scorecards, or regression portfolios.
  • Experience with clustering, text analytics, embeddings, classification, anomaly detection, or other methods for mining unstructured feedback.
  • Experience connecting offline evaluation results with online product and customer outcomes.
  • Experience working directly with enterprise customers, researchers, product managers, and engineers.
  • Familiarity with responsible AI, privacy-preserving analysis, data governance, and customer-data handling.

#cadets

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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