Microsoft

Principal Data Scientist - CoreAI

Microsoft$142K — $274K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate or Master's in Data Science or related field, plus extensive experience in data science.
  • Proven background in managing structured and unstructured data sets.
  • Expertise in statistical techniques and reporting findings effectively.
  • Experience leading impactful data science and analytics projects.
  • Skilled in SQL, Python, or R for large-scale data analysis and visualization.
  • Familiarity with designing experiments and causal inference studies.
  • Experience in developing and maintaining data pipelines.

Responsibilities

  • Provide executives with analyses that influence investment decisions.
  • Build partnerships with stakeholders through strong communication and analysis.
  • Spot high ROI data opportunities for personal and team projects.
  • Enhance the culture and infrastructure for delivering data insights.
  • Guide and mentor junior data scientists and engineers.
  • Implement models and reporting systems for operational efficiency.
  • Utilize AI to boost team workflow and productivity.

Benefits

  • Comprehensive health and wellness benefits.
  • Professional development opportunities.
  • Flexible working arrangements.
  • Inclusive work culture promoting diversity and collaboration.
  • Access to cutting-edge tools and technologies.
Full Job Description
Overview

We9re looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft9s developer-focused AI suite and drives product growth.

Responsibilities

  • Supply executives with time-critical analyses that steer major investment decisions.
  • Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
  • Identify and prioritize high ROI data opportunities for your individual work and the broader team.
  • Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
  • Mentor other data scientists, engineers, and PMs.
  • Operationalize models and reporting.
  • Leverage AI to accelerate workflows and amplify team productivity.


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 Master9s 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 Bachelor9s 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.


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/Additional Qualifications

  • 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins.
  • 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R.
  • 5+ years of experience designing and analyzing experiments and causal inference studies.
  • 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses.
  • Experience using AI tools in data science and analytics workflows.
  • Experience both prototyping and deploying data products.


Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 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 $188,000.00 - $304,200.00 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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