Microsoft

Data Science Manager

Microsoft$142K — $274K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate in a quantitative discipline (Data Science, Computer Science, etc.) with 3+ years of relevant data science experience, OR a Master's with 5+ years, OR Bachelor's with 7+ years.
  • 3+ years of experience in people management.
  • Strong background in managing both structured and unstructured data.
  • Proficiency in applying statistical techniques for data analysis and reporting.
  • Ability to fulfill Microsoft's security screening requirements.

Responsibilities

  • Lead the team in developing success metrics and creating functional datasets from raw data.
  • Guide the process of predictive modeling and statistical analysis to derive actionable insights.
  • Identify usage patterns and product gaps to formulate growth hypotheses and experiments.
  • Effectively communicate data stories and insights to stakeholders and leadership.
  • Coaching team members on best practices for exploratory data and analysis tools.

Benefits

  • Comprehensive health coverage and wellness programs
  • Generous paid time off and holiday schedule
  • Professional development opportunities and resources
  • Flexible work hours and remote work options
  • Employee assistance program and mental health resources
Full Job Description
Overview

Want to shape the future of Copilot in Windows and bring next-generation AI experiences to hundreds of millions of people? Join us to turn data into product insights, test bold hypotheses, and drive customer and business growth.

As a Data Science Manager, you will lead a team that partners closely with Windows and Copilot product teams, translating complex data into clear product strategy and decisions throughout the lifecycle. You will guide rigorous analysis, experimentation, and predictive modeling to uncover customer needs, evaluate AI experiences, and identify opportunities to grow customer and business metrics. This opportunity will allow you to deepen your expertise in user-facing AI, strengthen your strategic and people leadership, and expand your influence across product, engineering, and business teams.

Responsibilities
  • Lead the team in designing success metrics and building reliable, multi-functional datasets from raw data; coach team members on exploration tools and analysis best practices.
  • Guide predictive and prescriptive modeling, statistical analysis, and experimentation to deliver actionable solutions and deploy evaluation results.
  • Provide strategic and thought leadership by identifying usage patterns and product gaps, then translating them into growth hypotheses and experiments.
  • Tell compelling stories with data to stakeholders, feature teams, and leadership, clearly communicating insights, recommendations, and business impact.


Qualifications

Required Qualifications
  • Doctorate in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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.
  • 3+ years people-management experience.

Other Requirements
  • 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.

Preferred Qualifications
  • Experience conducting exploratory data analysis, statistical inference, predictive modeling, including regression and classification and forecasting.
  • Experience designing experiments and analyzing results to evaluate hypotheses and inform decisions.
  • Demonstrated leadership in complex technical environments through critical thinking, technical expertise, clear direction, and consistent delivery of results.
  • Demonstrated experience communicating complex data and analytical findings to senior leaders through clear, concise, and actionable recommendations.

#W+DJOBS

Data Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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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If you're ready to take on exciting challenges and make a difference in the world of technology, explore the job opportunities at Microsoft. Search for open positions that match your skills and interests, and prepare to embark on a rewarding career path filled with innovation and opportunities for personal and professional growth.

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

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