Principal Data Scientist

Overview

Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, 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 and analyze data across the full Azure stack, HW & SW components, Silicon development processes, and much more. CHAT AI, a branch of CHAT, provides AI capabilities and solutions to the larger org in order to improve quality, security and productivity / throughput.

We are looking for a 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 8+ 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 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.
• 7+ years of industry experience
• 1+ years of hands-on experience working with AI solutions in the industry

Other Requirements

Additional or Preferred Qualifications

Data Science IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 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 July 24th, 2025.

AHSI #SCHIE

Responsibilities

Identify opportunities for custom and existing AI solutions to drive business impact across the division

Design, develop, and implement AI and ML solutions to improve workflows and deliver measurable ROI

Stay informed on industry trends and advancements in AI, ML, and emerging enterprise technologies

Evaluate new enterprise solutions, effectively communicate their potential, and lead efforts to automate processes

Collaborate closely with cross-functional and virtual teams to ensure alignment and successful execution

Lead highly technical projects with a focus on customer satisfaction and business outcomes

Provide technical leadership while actively contributing to hands-on development and solution implementation

Coordinate with internal partners to identify pain points, define requirements, and deliver innovative software solutions

Operate effectively in a fast-paced environment using cutting-edge technologies and enterprise-level systems

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