Microsoft

Data Scientist II

Microsoft$102K — $202K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate in Data Science or related field, OR Master's with 1+ year experience, OR Bachelor's with 2+ years data science experience.
  • Strong skills in managing structured and unstructured data, applying statistical techniques, and reporting results.
  • Ability to meet security screening requirements including the Microsoft Cloud background check.
  • Familiarity with cloud technologies like Azure and programming languages such as Python, C#, and TypeScript is preferred.
  • Experience with AI-powered tools to enhance analytics productivity and automate processes.

Responsibilities

  • Develop high-performance analytics solutions for data-driven decision-making.
  • Collaborate with development teams to refine instrumentation quality and create actionable dashboards.
  • Conduct in-depth analyses of customer behavior and product engagement.
  • Collect requirements and deliver insightful reports to guide product and business strategies.
  • Leverage AI tools to enhance data quality and accelerate insights generation.
  • Communicate findings through presentations and collaborate with cross-functional teams.
  • Participate in an on-call rotation to address data service degradation.

Benefits

  • Access to a range of health and wellness programs.
  • Opportunities for career development and growth within the company.
  • Flexible working arrangements to promote work-life balance.
Full Job Description
Responsibilities
  • Develop scalable, high-performance analytics solutions and trusted data assets that enable data-driven decision-making.
  • Work with development teams to improve instrumentation quality, partner with product stakeholders, build relevant datasets, define success metrics, create dashboards, scorecards, visualizations, and tools to democratize data and foster a data-driven culture.
  • Execute targeted analyses to understand customer behavior, feature adoption, engagement, retention, and product impact.
  • Collect requirements, create dashboards and report, and deliver actionable insights and recommendations to business and product teams.
  • Utilize artificial intelligence and agentic development to improve data pipelines and analytics platforms, and leverage AI-powered tools to accelerate insight generation, improve analytics productivity, and enhance data quality.
  • Communicate analytical findings through presentations, written insights, and cross-functional collaboration, demonstrating teamwork and ownership.
  • Take part in the on-call roster to monitor and mitigate data service degradation and downtime.


Qualifications

Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree 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 consulting experience
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent 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 developing data and analytics solutions using cloud technologies such as Azure, Cosmos. Familiarity with scripting and query languages including PowerShell, KQL, and SQL, and programming languages such as C#, TypeScript, Python, or similar technologies.
  • Experience analyzing product telemetry, defining metrics, and generating insights to support data-informed decision-making.
  • Experience applying statistical analysis, experimentation, and product analytics to evaluate feature performance and customer engagement.
  • Familiarity with AI-powered tools and agentic workflows to improve productivity, automate analysis, and accelerate insight generation.
  • Familiarity with video creation and consumption technologies and industry trends is a plus.
  • Committed to quality, including security, privacy, compliance, and performance.
  • Ability to translate business questions into analytical approaches and communicate insights to technical and non-technical stakeholders


Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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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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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