Microsoft

Applied Scientist

Microsoft$119K — $234K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant field with 4+ years experience, or Master's with 3+ years, or Doctorate with 1+ year, or equivalent experience.
  • Preferred Master's Degree with 6+ years experience, or Doctorate with 3+ years, or equivalent experience.
  • 3+ years of experience creating publications in the field.
  • Experience as an invited speaker at conferences or events related to research or industry.
  • 3+ years conducting research as part of a program in academic or industry settings.
  • 1+ years of developing and deploying live production systems as part of a team.
  • 1+ year of experience in product lifecycle management from ideation to shipping.

Responsibilities

  • Develop metrics and methodologies to assess AI system quality and usability.
  • Design and analyze experiments to measure and improve products.
  • Build scalable data pipelines and dashboards for continuous quality monitoring.
  • Apply advanced statistical analysis and data techniques to large datasets.
  • Collaborate with engineering and product teams to prioritize investment decisions using data insights.
  • Investigate quality issues, identify root causes, and recommend improvements.
  • Establish best practices for AI evaluation and responsible measurement across products.
  • Clearly communicate technical findings to both engineering and business teams.

Benefits

  • Comprehensive health coverage including medical, dental, and vision plans.
  • Retirement savings plan options with employer matching contributions.
  • Generous paid time off including vacation and holidays.
  • Opportunities for professional development and continued education.
  • Flexible work arrangements to promote work-life balance.
Full Job Description
Responsibilities

  • Develop metrics and evaluation methodologies to measure the quality, accuracy, and usability of AI systems.
  • Design and analyze online and offline experiments to quantify product improvements and identify opportunities for optimization.
  • Build scalable data pipelines, dashboards, and analytical tools that enable continuous quality monitoring.
  • Apply statistical analysis, machine learning, and data mining techniques to extract insights from large-scale datasets.
  • Partner with engineering, research, and product teams to prioritize investments using data-driven recommendations.
  • Investigate quality regressions, identify root causes, and propose measurable improvements.
  • Shape best practices for AI evaluation, experimentation, and responsible AI measurement across multiple products.
  • Communicate technical findings clearly to both engineering and business stakeholders.


Qualifications
Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.


Preferred Qualifications:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 3+ years experience conducting research as part of a research program (in academic or industry settings).
  • 1+ year(s) experience developing and deploying live production systems, as part of a product team.
  • 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.


Applied Sciences 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
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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