CrawlJobs Logo

Principal Data Science Manager

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted January 31, 2026
Apply Position
Job Link Share

Job Description

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Science Manager to join our Growth and Analytics team.

Job Responsibility

  • Work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business
  • Lead a team of data scientists and empower them to do their best work
  • Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data
  • Enhance products by evaluating performance metrics and user feedback
  • Develop self-service dashboards and reports for various stakeholders using reporting platforms
  • Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems
  • Build metrics system to measure Business Health and quickly identify the root cause when metrics moves
  • Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI
  • Design and conduct A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results
  • Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR equivalent experience
  • 3+ years people-management experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check

Nice to have

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
  • OR equivalent experience
  • 5+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
  • 3+ years people-management experience
  • Previous product analytics, web analytics and or content analytics experience
  • Interpersonal communication and ability to leverage the data to tell a story
  • Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights
  • Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala)
  • Knowledge of Content ecosystem, Ads and online shopping metrics

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Principal Data Science Manager

8 matching positions

Principal Data Science Manager

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR equivalent experience
  • 3+ years people-management experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
Job Responsibility
Job Responsibility
  • Set technical and organizational direction for data science, machine learning, and AI initiatives supporting compromise detection, fraud, and anti‑abuse systems
  • Lead, grow, and sustain a high‑performing data science organization, including hiring, coaching, and maintaining a strong talent pipeline
  • Drive the design, delivery, and evolution of production‑grade ML models and AI‑powered systems, ensuring solutions are scalable, reliable, observable, and secure
  • Partner with engineering leadership to ensure ML systems are built to operate at scale, with strong operational excellence, monitoring, and lifecycle management
  • Collaborate with product and business leaders to translate ambiguous security problems into clear success metrics, roadmaps, and execution plans
  • Establish and uphold standards for model quality, experimentation (e.g., A/B testing), monitoring, and responsible AI across the organization
  • Influence and align cross‑team and cross‑org technical decisions, serving as a recognized thought leader in data science and applied AI within Microsoft Security
  • Communicate strategy, progress, tradeoffs, and risk clearly to senior leadership, shaping investment decisions and long‑term priorities
  • Model and reinforce Microsoft values, fostering a culture of accountability, inclusion, and engineering excellence
  • Fulltime
Read More
Arrow Right

Principal Data Science Manager

Microsoft aspires to help our customers achieve their own AI and digital transfo...
Location
Location
United States , Multiple Locations
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
  • OR equivalent experience
  • 5+ years people-management experience
Job Responsibility
Job Responsibility
  • People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring
  • Metrics Definition, Reporting and Analysis: Oversee and advise others on conceptualizing, defining, driving alignment on, and evangelizing foundational metrics and dashboards
  • Steers partnerships with internal customers to define and translate vague, complex, and/or large-scale business problems into data-verifiable hypotheses
  • Refines methods for analyzing and interpreting internal, highly complex, unstructured and/or structured data
  • Provides input on best practices for developing and employing models and causal analyses
  • Lead the team to develop classical Power BI reporting as well as agentic UI to meet the needs of internal constituencies
  • Strategic Analysis and Opportunity Identification: Leads team on recommending improvements to standards for performing complex data analyses exploring potential and/or proposed opportunities for improved growth, innovation, and efficiency
  • Shapes expectations for creating compelling, data-centric stories and recommendations based on analytical findings
  • Drives a strategy to maintain a secure, highly productive and cost-effective Data and AI platform
  • Drives innovation (customer 0) by identifying opportunities to leverage AI and new technologies as they become available
  • Fulltime
Read More
Arrow Right

Principal Data Science Manager

Lead a team of data scientists as they work with software engineering teams to h...
Location
Location
United States , Boston
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
  • OR equivalent experience
  • 5+ years people-management experience
Job Responsibility
Job Responsibility
  • Support and manage your team’s activities in constructing final datasets from raw data, ensuring data is prepared in a multi-functional approach
  • Help your team understand key data exploration tools, and coach junior engineers in data analysis best practices
  • Develop new predictive and prescriptive models with the goal of producing viable solutions and oversee data and statistical analyses across multiple teams
  • Communicate results of assessments and process reviews to upper management and drive the deployment of evaluation results
  • Oversee collaboration efforts with other engineering teams, and share industry and research knowledge through conferences, white papers, and more
  • Be responsible for enabling the team from both technology and business acumen perspectives
  • Champion innovative principles that affect Microsoft’s long-term business goals, while looking for opportunities across multiple customers and developing novel designs for future products
  • Establish and implement a customer-oriented focus within the team and organization
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Principal Product Manager, Data Science & Market Research

We're building the data-driven intelligence layer for the Windows Platform & Dev...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Define and own the data science and market research strategy for the Windows Platform & Developer organization, aligning research priorities to business and product goals.
  • Build and maintain analytical frameworks that track platform health, developer adoption, ecosystem growth, and competitive positioning across Windows, macOS, Linux, and web/cross-platform alternatives.
  • Deliver actionable market intelligence on developer trends, framework adoption and enterprise modernization patterns.
  • Partner with engineering, product, and leadership teams to define KPIs, instrument telemetry, and build dashboards that drive data-informed decision-making.
  • Lead primary and secondary research—developer surveys, competitive analysis, win/loss studies, and ecosystem assessments—to surface opportunities and risks.
  • Translate complex data into clear, compelling narratives for senior leadership to support investment decisions, roadmap prioritization, and executive reviews.
  • Engage with developer communities, enterprise customers, ISV partners, and internal stakeholders to validate hypotheses and ground insights in real-world signals.
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
  • Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
  • Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
  • Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
  • Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
  • Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
  • Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
  • Guides the architecture of scalable pipelines and datasets
  • Influences the direction of the team
  • Begins to anticipate potential data pipeline issues and provides solutions
  • Fulltime
Read More
Arrow Right

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Data is at the center of everything we do. As a startup, we disrupted the credit...
Location
Location
United States , McLean
Salary
Salary:
161800.00 - 184600.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Job Responsibility
Job Responsibility
  • Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions
  • Translate business goals into data science solutions and communicate with senior stakeholders
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Principal, Data Science & Analytics

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, bro...
Location
Location
United States , Redmond
Salary
Salary:
142800.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration
  • Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation
  • Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets
  • define and deliver metrics that accurately measure user and business value across products and marketplace components
  • Experimental Design & Implementation: Design and execute experiments across user and demand dimensions
  • translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders
  • Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations
  • Performance Optimization: Identify cross-team opportunities for product and process improvement
  • implement data-driven solutions to improve efficiency, reliability, and user experience
  • Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights
What we offer
What we offer
  • Certain roles may be eligible for benefits and other compensation
  • Fulltime
Read More
Arrow Right

Principal, Data Science & Analytics

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, bro...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience.
Job Responsibility
Job Responsibility
  • Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration
  • Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation
  • validate analytical approaches and results
  • Apply machine learning, statistical modeling, data mining, and experimentation to large datasets
  • define and deliver metrics that accurately measure user and business value across products and marketplace components
  • Design and execute experiments across user and demand dimensions
  • translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders
  • Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations
  • Identify cross-team opportunities for product and process improvement
  • implement data-driven solutions to improve efficiency, reliability, and user experience
  • Fulltime
Read More
Arrow Right