Microsoft

Multidisciplinary Manager (Data Science) - FDE

Microsoft • $142K — $274K *
Redmond, WA 98052In-Person
Technical Services
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Doctorate or master's degree in relevant field with extensive data science experience; equivalent experience acceptable.
  • 3+ years of people management experience required.
  • Preferred experience includes 7+ years managing people and customer-facing project delivery.
  • Experience in delivering end-to-end solutions is essential.
  • Enjoy and are comfortable with travel up to 25%.

Responsibilities

  • Lead a cross-functional engineering team to enhance customer and Microsoft value.
  • Provide coaching and support for engineers to promote individual and team development.
  • Act as a player-coach, engaging in hands-on work while demonstrating engineering best practices.
  • Collaborate with leadership to maintain strong operational excellence and team dynamics.
  • Foster a culture of continuous learning and improvement in engineering practices.
  • Guide teams in applying responsible AI practices and integrating AI capabilities into projects.

Benefits

  • Healthcare and wellness programs.
  • Professional development and continuous learning opportunities.
  • Flexible work schedule and supportive work environment.
  • Participation in a culture that champions inclusivity and collaboration.
  • Opportunities for career advancement and leadership growth.
Full Job Description
Responsibilities

  • Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership.


  • Provide clear coaching, career development, and performance support for engineers across software engineering, technical program management, and data science, fostering growth in a multidisciplinary environment.


  • Serve as a player-coach by taking on selected engagements, modeling engineering fundamentals, customer-obsessed execution, and inclusive, cross-discipline collaboration.


  • Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements.


  • Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model.


  • Champion AI-forward hypervelocity engineering by guiding teams to apply responsible AI practices, leverage accelerators and reusable patterns, and integrate emerging AI capabilities into customer solutions and delivery.


Qualifications

Required/minimum qualifications

  • 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 (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 10+ 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
  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.


Additional or preferred qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ 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 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • 7+ years people-management experience.
  • 3+ 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.
  • Enjoy travel and are comfortable with travel up to 25%


#FDE

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

Data Science M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 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 $220,800 - $331,200 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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Join Microsoft today and be part of a company that values innovation, leadership, and diversity in its workforce. As a global leader in technology and digital transformation, Microsoft offers unparalleled job opportunities that propel your career to new heights.

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Career growth at Microsoft is about more than climbing the corporate ladder; it's about continuous learning, expanding your skills, and improving your capabilities. With access to various leadership and training programs, you can evolve as a professional and make a significant impact within the company and on the global stage.

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Our hiring process is designed to identify true potential. Starting with a review of your resume, followed by interviews that assess your problem-solving abilities and cultural fit, we ensure that all candidates have a fair chance to demonstrate their strengths and potential to contribute to our team.

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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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