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Job Details
Posted date: Sep 25, 2025
There have been 4 jobs posted with the title of Applied & Data Scientist all time at Microsoft.Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $158,000
Range: $100,600 - $215,400
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Fully on-site
Role: Individual Contributor
Description
The Commerce Risk Applied Science team is seeking a highly skilled and proactive Applied & Data Scientist to join our team, focused on automating manual workflows within our fraud decisioning systems. This role is pivotal in driving technical innovation, reducing manual intervention, and improving risk assessment accuracy across our platforms.Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
API Integration & Engineering
Familiarity of Design and integration of third-party APIsDevelop and maintain low-latency data ingestion pipelines to feed ML modelsFeature Engineering & Model Development
Transform raw API responses into usable model features via middle-layer DAs.Collaborate with evaluation teams to invoke and assess modelsDevelop, deploy, and maintain machine learning models at scaleData Analysis & Experimentation
Conduct comparative experiments across APIs to identify valuable data fields and estimate event volumes.Analyze manual review cases to define automation scope and edge-case handling strategies.Cross-Team Collaboration
Act as the primary point of contact for data science inquiries related to the manual workflow automationCoordinate upstream/downstream data needs and manage deliverables via Azure DevOps.Strategic Impact
Align technical execution with business goals, including reducing vendor reliance and savings in manual effort.Contribute to achieving maximum automation of manual workflows in Azure, Office, and Consumer business
Qualifications
Required Qualifications:Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldOR equivalent experiene1+ year(s) Experience with feature engineering, model evaluation, and data pipeline design.1+ year(s)Experience with model evaluation platforms. Preferred Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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+ year(s) related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).Familiarity with manual review workflows and fraud detection systems.Prior exposure to vendor data integration and cost-efficiency initiatives.Proven experience in applied data science, preferably in risk, fraud, or automation domainAbility to manage ambiguity and drive clarity in complex, cross-functional environments.This experience should include:Hands-on work with machine learning frameworks and techniques.Applied research or development in areas like LLM fine-tuning, evaluation, or RAG implementations.Demonstrated ability to work cross-functionally with engineering, product, and program management teams.Proven track record of delivering scalable and ethical AI solutions.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
Microsoft will accept applications for the role until October 8, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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