Microsoft

Senior Data Scientist, AI Infrastructure

Microsoft • $142K — $274K *
Mountain View, CA 94040In-Person
Enterprise Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Doctorate or equivalent experience in Data Science or related field with 1+ years of data science experience.
  • Master's degree or equivalent with 3+ years of experience in data science.
  • Bachelor's degree or equivalent with 5+ years of data science experience.
  • Proven consulting and stakeholder engagement skills for influencing decisions.
  • Proficiency in Python and SQL with experience in cloud platforms (preferably Azure).

Responsibilities

  • Own delivery of complex, high-impact data science and AI solutions.
  • Collaborate with stakeholders to define business problems into actionable AI solutions.
  • Develop project plans, assess risks, and ensure alignment with strategic objectives.
  • Identify opportunities to leverage generative AI for business transformation.
  • Acquire, clean, and prepare large datasets for modeling.
  • Build and deploy predictive and prescriptive models using modern machine learning techniques.
  • Present findings to senior stakeholders using compelling storytelling and visualizations.

Benefits

  • Opportunity to work with one of the largest AI fleets globally.
  • Collaborative environment with close interaction among data scientists, engineers, and stakeholders.
  • Engagement with cutting-edge AI technologies and frameworks.
  • Emphasis on responsible AI practices, including fairness and transparency.
Full Job Description
Overview

As a Senior Data Scientist, you will own end-to-end delivery of strategic data science projects and partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This hands on role blends deep technical expertise with consulting and stakeholder engagement, enabling you to influence decisions and guide adoption of data-driven strategies.

The AI Infrastructure team builds, operates and optimizes one of the largest AI fleets in the world. Our Data Scientists leverage data to inform everything from infrastructure planning to systems design to product feature tradeoffs. You will be expected to work across a wide variety of subject matters and partnership levels to identify and drive action against the largest opportunities.

The AI Infrastructure Data team is full stack owning telemetry collection, data infrastructure, processing, experimentation and measurement for a wide range of partner teams, systems and business processes. Close collaboration with Data Engineers, Data Infrastructure SWE and SMEs are a day to day component of our model. The team regularly interacts with hyperscale datasets, systems and challenges to deliver impact to the companies most important initiatives.

Responsibilities

Business Understanding & Impact

  • Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.


  • Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.


  • Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles.


  • Identify opportunities to leverage generative AI for business transformation and innovation.


Data Preparation & Modeling

  • Acquire, clean, and prepare large datasets for modeling.


  • Build and deploy predictive and prescriptive models using modern machine learning techniques.


  • Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions.


  • Write efficient, maintainable code and ensure scalability for production environments.


  • Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models.


Insight, Communication & Enablement

  • Present findings to senior stakeholders using compelling storytelling and visualizations.


  • Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption.


  • Document best practices for AI application development and share knowledge across teams.


Collaboration & Consulting

  • Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.


  • Promote responsible AI practices, including fairness, transparency, and explainability in model and application development.


  • Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities.


Qualifications

Required/minimum qualifications:

  • Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)


  • OR equivalent experience.


Additional or preferred qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)


  • OR equivalent experience.


  • Proven consulting and stakeholder engagement skills with proven ability to influence decisions.


  • Proficiency in Python and SQL; experience with cloud platforms (Azure preferred).


  • Knowledge of Responsible AI principles and ethical data practices.


  • Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions.


  • Experience with AI-assisted coding practices and specification-driven development.


  • 1 to 3 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience.


  • Experience developing and deploying Agentic AI solutions
    #AIinfra


Data Science IC5 - 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

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.

Microsoft Careers

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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Whether you're a seasoned professional looking for your next challenge or a recent graduate eager to start your career, Microsoft has a position that suits your skills and ambitions. We are committed to fostering a culture of growth and learning, where every team member is supported in expanding their horizons.

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At Microsoft, we believe that innovation comes from diversity of thought and inclusion. We are committed to a workplace where everyone feels valued and inspired. Our leadership is dedicated to fostering an environment where diverse perspectives lead to breakthrough innovations and a competitive edge.

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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.

Hiring Process

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.

Networking and Professional Development

Microsoft is a place where you can build a professional network that spans the globe. Our employees benefit from connections with top-tier professionals and industry leaders, which opens doors to innovative projects and collaborative opportunities that are second to none.

Join Our Team

If you're ready to take on exciting challenges and make a difference in the world of technology, explore the job opportunities at Microsoft. Search for open positions that match your skills and interests, and prepare to embark on a rewarding career path filled with innovation and opportunities for personal and professional growth.

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At Microsoft, your future is limitless. Join us in our mission to empower every person and every organization on the planet to achieve more. Your journey with Microsoft starts here.
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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