JobsSenior Applied Data Scientist
Location
Redmond, WA, Mountain View, CA, New York, NY
Type
Full-time
Posted
7/8/2026
Compensation
$119,800 - $261,000 per year
Undergraduate with 5+ Years of Experience
Approval 98.4%·Filings 6,363·New hires 3,142·
👑 Elite Sponsor
·FY 2025Job description
The Ads Data Management Platform team is looking for Applied Scientists to enhance the User Identity graph across Microsoft Advertising. The role focuses on developing predictive models and conducting data analysis to drive business impact in ads personalization and audience targeting. Candidates should have a strong background in data science, machine learning, and advanced analytics. The position emphasizes collaboration and innovation to empower users and improve product development.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
- Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
Responsibilities
- Gain expertise in building identity graphs and applicable research techniques.
- Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends.
- Review business requirements and incorporate research to meet business goals.
- Provide strategic direction for the kinds of data used to solve problems.
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
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