Member of Technical Staff, Data Scientist - Windows Copilot at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

234700.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, Data Pipelines, Deep Learning Models, AI Workflows, Telemetry Data, Dashboard Building, Data Analysis, User Experience, Collaboration, Clean Code, Maintainable Code, Startup Experience, Demographic Analysis, Product Usage Analysis

Industry

Software Development

Description

Overview The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack—from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We’re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it’s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all. The Data Scientist will be part of the Windows Copilot team, responsible for developing the Windows Copilot application, which is the most ambitious copilot surface at Microsoft. The team handles the core technologies, user experience, and application development for Windows Copilot. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Handle and control various features, builds, and experiments to improve retention and activation Understand user demographics and preferences to guide investment decisions Analyze product usage, segment by demographic and market, and help build and design new features Embody our Culture and Values. Qualifications Required Qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Ability to analyze large datasets, extract insights, and apply them to model improvements. Ability to work independently, including writing queries and building dashboards Ability to work in a fast-paced, research-driven environment, balancing multiple priorities while fostering collaboration. Dedication to writing clean, maintainable, and well-documented code. Experience in adding telemetry data points directly into builds Startup experience, especially in the data science space 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Data Scientist will handle various features, builds, and experiments to improve user retention and activation. They will analyze product usage and user demographics to guide investment decisions and help design new features.