Microsoft

Principal Data Scientist

Microsoft$139K — $274K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 5+ years of experience; OR Master's with 7+ years; OR Bachelor's with 10+ years; OR equivalent experience.
  • 5+ years of experience in data science modeling, analytics, or business intelligence.
  • Prior experience in web analytics, product analytics, or content analytics.
  • Understanding of ads and content ecosystems.
  • Strong interpersonal communication skills to convey data-driven narratives.

Responsibilities

  • Build a metrics system for quick identification of root causes affecting Business Health.
  • Collaborate with teams to analyze features and drive engagement improvements using big data insights.
  • Enhance product development by assessing performance metrics and user feedback, while creating self-service dashboards.
  • Analyze large datasets to uncover trends and enhance recommendation systems.
  • Conduct business modeling to spot growth opportunities and initiate ROI-positive projects.
  • Design and implement A/B tests to evaluate and improve algorithms based on outcomes.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Benefits

  • Comprehensive healthcare and wellness programs.
  • Generous retirement savings plans with employer contributions.
  • Ongoing professional development and education opportunities.
  • Flexible working hours and remote work options.
  • Employee assistance and wellness programs.
Full Job Description
Responsibilities
  • Build metrics system to measure Business Health and quick identify the root cause when metrics moves.
  • 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.
  • Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
  • Design and conducting A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results.
  • Effectively communicate findings, insights, and make recommendations to both technical and non-technical stakeholders, enabling informed decision-making.


Qualifications

Required 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.


Preferred Qualifications:
  • 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 (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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • 5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
  • Previous web analytics, product analytics and or content analytics experience.
  • Knowledge of Ads and content ecosystem
  • 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


#MicrosoftAI #copilot #AI #datascience

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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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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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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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