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Data Science Microsoft Jobs (NOW HIRING)

Microsoft AI is seeking a Principal Data Scientist to join their Advertising Data Science Team. The role involves defining metrics, designing experiments, and collaborating with various teams to ...

Microsoft AI is seeking a Senior Data Scientist to join the Bing organization, which focuses on advancing predictive models, product analysis, and online experimentation methods. The role involves ...

Microsoft AI is seeking a Senior Data Scientist to join the Bing organization, which focuses on advancing predictive models, product analysis, and online experimentation methods. The role involves ...

As the Manager of Data Science, you will lead a team of data scientists to solve business problems ... the Microsoft Office suite • Proficiency in Python • Proficiency in SQL, noSQL and ...

Join us to help shape what great AI and data science delivery looks like across customers, industries, and Microsoft teams. Responsibilities Business Understanding and Impact * Drives alignment ...

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP)

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP)

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP)

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences ...

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Data Science Microsoft information

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$46K

$165K

$243.5K

How much do data science microsoft jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science 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 the difference between Data Science Microsoft vs Data Analyst Microsoft?

AspectData Science MicrosoftData Analyst Microsoft
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's degree in Statistics, Business, or related fields; certifications in data analysis tools are common
Work EnvironmentFocus on developing models, algorithms, and predictive analytics; often involves programming and machine learningFocus on interpreting data, generating reports, and supporting decision-making; involves data visualization and SQL
Employer & Industry UsageUsed across tech companies, finance, healthcare, and consulting firms for advanced analyticsCommon in retail, finance, healthcare, and corporate sectors for business insights

Data Science Microsoft professionals typically develop predictive models and work with machine learning, requiring advanced technical skills. Data Analysts Microsoft focus on analyzing data sets, creating reports, and supporting strategic decisions. Both roles are vital in data-driven organizations but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist at Microsoft, 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 programming languages such as Python or R, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Azure Machine Learning, SQL databases, and version control systems, as well as experience with big data technologies, is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help you present insights to stakeholders and work within cross-functional teams. These skills are crucial for translating complex data into actionable business decisions and driving innovation within Microsoft’s technology-driven environment.

What is a Data Scientist at Microsoft?

A Data Scientist at Microsoft is a professional who uses statistical analysis, machine learning, and data visualization to solve business problems and improve Microsoft’s products and services. They work with large datasets, build predictive models, and collaborate with software engineers, product managers, and other stakeholders. Their tasks may include identifying trends, developing data-driven solutions, and communicating insights to both technical and non-technical audiences.

What are some typical collaboration opportunities for Data Scientists at Microsoft?

Data Scientists at Microsoft frequently collaborate with cross-functional teams including software engineers, product managers, and UX designers. These collaborations are essential for integrating data-driven insights into product development and ensuring that machine learning models are effectively deployed at scale. Team members often participate in regular sprint meetings, brainstorming sessions, and peer reviews. This collaborative environment not only enhances the impact of their work but also provides valuable learning and career growth opportunities.
More about Data Science Microsoft jobs
What cities are hiring for Data Science Microsoft jobs? Cities with the most Data Science Microsoft job openings:
What states have the most Data Science Microsoft jobs? States with the most job openings for Data Science Microsoft jobs include:
Infographic showing various Data Science Microsoft job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 7% Part Time, 1% Temporary, and 7% 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

Principal Data Scientist

Microsoft Corporation

Mountain View, CA • On-site

Other

Posted 27 days ago


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

55th of 202 rated software companies


Job description

Overview

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovatenew solutionsto complex problems? Do you jump with excitement at the opportunity toidentifytrends and provide unique business solutions? Do you want to join a team where learning abouta new technologyor solution is part of our work every day?Then, come join us!
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking toleveragethe latest technologies to address their toughest challenges.

We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development ofbroadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring aPrincipalData Scientistto help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services.Data scientistshavedata management andexpertisein developing statistical techniques to analyze data and find patterns.You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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.

Responsibilities
  • You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.

  • You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.

  • You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thoughtleadershipbest practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.

  • You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffer customer pragmatic solutions that align with their data capabilities.

  • You will embodyourcultureandvalues.


Qualifications
Required/minimum 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.

Other Requirements

  • This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
Additional or 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.
  • 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

#ISEngineering

#WSS

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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