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Data Scientist Microsoft Jobs (NOW HIRING)

Overview Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences ... We are seeking an experienced Principal Business Analytics Data Scientist with solid business ...

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product ...

Microsoft Cloud Operations + Innovation is responsible for designing, building, and operating our ... The CO+I Demand Planning Data Science team delivers Microsoft's Long Range Infrastructure plan ...

New

Overview In the Microsoft Frontier Company Engineering team, you won't just build software; you'll ... As a Principal Data Scientist , you will help transform how organizations use data, developing ...

Overview In the Microsoft Frontier Company Engineering team, you won't just build software; you'll ... As a Principal Data Scientist , you will help transform how organizations use data, developing ...

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Overview In the Microsoft Frontier Company Engineering team, you won't just build software; you'll ... As a Senior Data Scientist , you will help transform how organizations use data, developing models ...

Overview In the Microsoft Frontier Company Engineering team, you won't just build software; you'll ... As a Senior Data Scientist , you will help transform how organizations use data, developing models ...

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... Doctorate in Data Science , Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Contract (C2C) Microsoft Fabric , Data scientist, Agentic AI Experience15 Years Start Date: ASAP ideal candidate will have strong experience building AI-driven solutions, developing machine learning ...

As a Principal Data Scientist you will combine technical knowledge with broad strategic influence ... At Microsoft, our mission to empower every person and every organization on the planet to achieve ...

As a Principal Data Scientist you will combine technical knowledge with broad strategic influence ... At Microsoft, our mission to empower every person and every organization on the planet to achieve ...

Data Scientist

San Diego, CA · On-site

  • Medical

  • Life

  • Retirement

... Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA ... Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified ...

New

Data Scientist

San Diego, CA · On-site

  • Medical

  • Life

  • Retirement

... Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA ... Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified ...

Data Scientist

San Diego, CA · On-site

  • Medical

  • Life

  • Retirement

... Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA ... Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified ...

Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow ... Science experience with a strong foundation in classical ML * Proficiency in supervised and ...

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Data Scientist Microsoft information

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$46K

$165K

$243.5K

How much do data scientist microsoft jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data scientist microsoft in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data scientist Microsoft?

A Data Scientist at Microsoft applies statistical analysis, machine learning, and data-driven techniques to solve complex business problems. They work with large datasets, build predictive models, and collaborate with engineers and product teams to improve Microsoft's products and services. The role often involves using tools like Python, R, SQL, and cloud platforms such as Azure. Data Scientists at Microsoft may specialize in areas like AI, customer analytics, or business intelligence, depending on the team they join. Strong communication skills are also essential to translate insights into actionable business recommendations.

What are the key skills and qualifications needed to thrive in the data scientist Microsoft position, and why are they important?

To thrive as a Data Scientist at Microsoft, you need a strong background in statistics, machine learning, data analysis, and computer science, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, data visualization tools like Power BI, and familiarity with cloud platforms such as Azure are highly valued, along with relevant certifications. Exceptional problem-solving skills, curiosity, and the ability to communicate complex findings to diverse audiences distinguish top performers in this role. These skills and qualities are essential for driving data-driven decision making, collaborating across multidisciplinary teams, and delivering impactful business solutions.

What types of projects do data scientists typically work on at Microsoft, and how is the team structured?

At Microsoft, Data Scientists are involved in a wide range of projects, including predictive modeling, natural language processing, customer insights, and product optimization. Teams are usually cross-functional, consisting of data engineers, software developers, product managers, and business analysts, enabling close collaboration throughout the project lifecycle. Data Scientists often work in agile environments, participating in regular stand-ups, sprint planning, and brainstorming sessions. This structure supports learning, innovation, and the opportunity to see your data-driven recommendations implemented in real-world products and services.

More about Data Scientist Microsoft jobs

What cities are hiring for Data Scientist Microsoft jobs?

Cities with the most Data Scientist Microsoft job openings:

What states have the most Data Scientist Microsoft jobs?

States with the most job openings for Data Scientist Microsoft jobs include:

Infographic showing various Data Scientist Microsoft job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Principal Data Scientist

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 6 days ago


Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies


Job description

Overview
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.

Qualifications
Required 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.

Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 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.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
  • Experience partnering with advertising, monetization, or marketplace organizations.
  • Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
  • Experience leading analytics for large-scale consumer products with millions of users.
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights.
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.

#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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:
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.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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