Principal Data Scientist

Overview

Microsoft Cloud Hardware Infrastructure Engineering (CHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. CHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate, high energy engineers to help achieve that mission.

The Cloud Hardware Analytics & Tools (CHAT) Team within SCHIE develops advanced analytical and tooling solutions to support and improve the quality of Microsoft Azure. We collect, manageand analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT Data Science & Engineering, a branch of CHAT, provides data science support, machine learning and artificial intelligence solutions, and advanced visualizations to cloud engineering and management partners. We are looking for a Data Scientist and AI expert to support our custom data analytics and visualizations platform as well and building and implementing AI solutions across our division. This high-impact role combines software engineering with data science, and will have direct contributions to Azure-level projects, including working with highly visible platforms through data-driven approaches. This role closely collaborates with BI and Data Engineers, Software Engineers, other Data Scientists, Program Managers, and HW Engineering teams.

We further use that data to power AI solutions across the SCHIE org designed to improve efficiency, quality and innovation and our looking for Principal Data Scientist to join our team!

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 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.
• 7+ years industry experience
• 1+ years of hands on experience working with AI solutions in the industry

Other Qualifications :

Additional or preferred qualifications

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 :

Microsoft will accept applications for the role until November 17th, 2025.

#AHSI #SCHIE

Responsibilities

Design and develop complex software systems, ensuring scalability, performance, and maintainability.

Architect and implement AI-driven solutions to solve real-world business challenges.

Stay current with emerging trends, tools, and best practices in AI and related technologies.

Collaborate cross-functionally with teams in a dynamic, fast-paced environment to deliver high-impact solutions.

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect