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Microsoft Computer Science Jobs in California (NOW HIRING)

Microsoft

Principal Data Scientist

Mountain View, CA · On-site

... Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ... Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for ...

Microsoft

Senior Applied Scientist

Mountain View, CA · On-site

... Microsoft platforms. Qualifications Required Qualifications: * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years ...

Microsoft

Senior Applied Scientist

Mountain View, CA · On-site

$160K - $261K/yr

... the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: * Master's Degree in Statistics, Econometrics, Computer Science, Electrical or ...

Microsoft

Principal Silicon Engineer

Mountain View, CA · On-site

$142K - $274K/yr

... Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience. Other Requirements: * Ability to meet Microsoft, customer and/or government security ...

Microsoft

Principal UX Researcher

Mountain View, CA · On-site

Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical ... Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for ...

Microsoft

Principal Product Engineer

Mountain View, CA · On-site

... Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience. Other Requirements * Ability to meet Microsoft, customer and/or government security ...

Microsoft

Senior Silicon Engineer

Mountain View, CA · On-site

$160K - $261K/yr

... Computer Science, or related field AND 5+ years technical engineering experience OR equivalent experience. Other Requirements: * Ability to meet Microsoft, customer and/or government security ...

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How much do microsoft computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for microsoft computer science in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is Microsoft Computer Science?

Microsoft Computer Science typically refers to the study and application of computer science principles within the context of Microsoft technologies. This can include working with programming languages, software development, cloud computing, artificial intelligence, and other tech projects using Microsoft tools like Azure, Visual Studio, and .NET. Professionals in this field may work on developing software, managing IT infrastructure, or creating innovative solutions for business and consumer needs. Microsoft also offers educational programs and certifications for those interested in advancing their computer science knowledge and careers.

What collaborative projects might a Microsoft Computer Science professional work on, and how does teamwork influence success in this role?

As a Microsoft Computer Science professional, you will often collaborate with cross-functional teams, including product managers, designers, and other engineers, to develop scalable software solutions. Projects may range from cloud computing services in Azure to building new features for Microsoft Office or Windows. Teamwork is crucial, as success often depends on effective communication, code reviews, and shared responsibilities. Regular stand-up meetings, agile sprints, and pair programming are common practices that help ensure alignment and foster innovation. This collaborative environment not only enhances project outcomes but also supports individual growth through knowledge sharing.

What are the key skills and qualifications needed to thrive as a Microsoft Computer Scientist, and why are they important?

To excel as a Microsoft Computer Scientist, you need a solid background in computer science fundamentals, programming languages like C#, C++, or Python, and at least a bachelor's degree in computer science or a related field. Familiarity with Microsoft's development tools (such as Visual Studio), cloud platforms like Azure, and relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) is highly valuable. Strong problem-solving, teamwork, and effective communication skills help you contribute to complex projects and collaborate across diverse teams. These skills and qualifications are crucial for innovating, building scalable solutions, and driving success within Microsoft's dynamic technology environment.

What are 5 careers in Microsoft computer science?

Careers in Microsoft computer science include software engineer, data scientist, cybersecurity analyst, systems architect, and product manager. These roles typically require strong programming skills, knowledge of cloud platforms like Azure, and relevant certifications or degrees in computer science or related fields.

What are popular job titles related to Microsoft Computer Science jobs in California?

For Microsoft Computer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Microsoft Computer Science jobs in California look for?

The top searched job categories for Microsoft Computer Science jobs in California are:

Microsoft Computer Science jobs near you
Infographic showing various Microsoft Computer Science job openings in California as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Principal Data Scientist

Mountain View, CA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

Full-time

Posted 13 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

Job description

Overview
Microsoft Copilot is building an ecosystem of AI-powered consumer experiences across Search, Copilot, Edge, MSN, and beyond. The MAI Ecosystem Data Science team defines the metrics, experimentation frameworks, and measurement systems that shape how Microsoft AI evaluates success, identifies opportunities, and makes investment decisions at scale.
We are seeking a Principal Data Scientist to lead ecosystem-level measurement strategy across products and businesses. In this role, you will develop the scientific foundations that guide some of Microsoft's most important AI investments, partnering closely with product, engineering, business, and executive leaders to influence strategy, execution, and resource allocation.
The ideal candidate combines deep expertise in experimentation, statistics, metrics, and causal inference with exceptional business judgment and influence. You thrive in ambiguity, challenge assumptions with data, and transform complex signals into clear decisions that drive product and business impact.
This is a unique opportunity to shape how Microsoft AI measures value across the ecosystem, uncover new growth opportunities, and help define the future of AI-powered consumer experiences.
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
  • Define the measurement strategy, metrics, and decision frameworks that guide product and investment decisions across the Microsoft AI ecosystem.
  • Lead ecosystem-level analyses, experimentation, and causal inference to uncover opportunities, quantify impact, and drive business outcomes.
  • Partner across product, engineering, business, and executive leadership teams to shape strategy, roadmap priorities, and resource allocation.
  • Identify emerging opportunities, risks, and market dynamics before they become visible in product-level metrics.
  • Design and evolve North Star metrics and evaluation systems that accurately measure user value, business impact, and long-term ecosystem health.
  • Drive alignment and execution across organizations through influence, scientific rigor, and trusted partnerships.
  • Raise the bar for analytical excellence through technical leadership, mentorship, and best practices in measurement, experimentation, and data science.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ 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 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 8+ 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.
  • 6+ years of experience in Python, R, C++, Java, C#, or similar programming languages.
  • Demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis.
  • Experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions.
  • Proven track record of identifying high-impact opportunities and solving complex, ambiguous problems across multiple organizations.
  • Experience influencing product strategy and driving alignment among stakeholders with differing objectives through data-driven insights and recommendations.
  • Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences.
  • Experience leading large cross-functional initiatives and collaborating effectively across product, engineering, business, and analytics teams without direct authority.
  • Experience building and evaluating production-scale data, analytics, machine learning, or experimentation systems.

#MicrosoftAI
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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