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Microsoft Computer Science Jobs (NOW HIRING)

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

Microsoft AI

Applied Scientist II

Mountain View, CA · On-site

... Computer Science, Electrical or Computer Engineering, or related field • OR equivalent experience. • Ability to meet Microsoft, customer and/or government security screening requirements are ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

... Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing ... Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

Microsoft

Principal Data Scientist

Houston, TX · On-site

... Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing ... Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Microsoft's mission is to empower every person and every organization on the planet to achieve more ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

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How much do microsoft computer science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for microsoft computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

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 is the highest paying job at Microsoft?

The highest paying roles at Microsoft are typically executive positions such as Chief Technology Officer (CTO) or Vice President of Engineering, which can offer compensation packages exceeding several million dollars annually, including base salary, bonuses, and stock options. Senior technical roles like Distinguished Engineer or Partner also command high salaries due to their expertise and leadership responsibilities.

What are the typical collaborative projects a Microsoft Computer Science professional might 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.

Is computer science dead due to AI?

Computer science professionals, including those in Microsoft-related roles, continue to find demand as AI advances, requiring skills in programming, algorithms, and data analysis. AI tools often complement human expertise rather than replace it, making foundational knowledge in software development and systems design essential for ongoing employment.

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 are 5 jobs in computer science?

Five common jobs in computer science include software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These roles often require programming skills, knowledge of computer systems, and problem-solving abilities, with many positions requiring a bachelor's degree in computer science or related fields.

Is it hard to get hired at Microsoft?

Getting hired for a Microsoft computer science role can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and often advanced degrees or certifications. The hiring process typically involves multiple interviews, coding assessments, and technical evaluations to assess problem-solving abilities and fit. Success depends on preparation, technical proficiency, and alignment with the company's requirements and culture.
More about Microsoft Computer Science jobs
What states have the most Microsoft Computer Science jobs? States with the most job openings for Microsoft Computer Science jobs include:
What job categories do people searching Microsoft Computer Science jobs look for? The top searched job categories for Microsoft Computer Science jobs are:
Microsoft Computer Science jobs near you
Infographic showing various Microsoft Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.
Principal Applied Scientist

Principal Applied Scientist

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 2 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

57th of 209 rated software companies

Job description

Overview
Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value.
We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend.
The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.
As a Principal Applied Scientist, you will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem. You will partner across research, engineering, and product leadership to introduce advanced inference techniques into production systems operating at massive scale.
This is a high-ownership role focused on solving structurally hard problems where ground truth is limited, experimentation is non-trivial, and scientific rigor is essential to unlocking durable marketplace advantage.
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 and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
  • Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
  • Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
  • Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
  • Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
  • Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
  • Serve as a subject-matter expert and technical advisor on attribution and causal inference.
  • Mentor scientists and influence technical direction to raise the organization's scientific bar.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • Demonstrated track record of setting technical direction for large-scale machine learning or statistical systems that delivered measurable business impact.
  • Deep expertise in causal inference, data-driven attribution, treatment effect estimation, counterfactual learning, or experimental design - applied in production environments.
  • Experience leading ambiguous, high-impact initiatives where ground truth is limited and methodological rigor is critical.
  • Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
  • Significant experience developing and deploying production ML systems across multiple stages of the product lifecycle.
  • Solid scientific judgment with a history of selecting appropriate methodologies under real-world constraints.
  • Exceptional communication skills with the ability to translate complex technical concepts into guidance for senior technical and business leaders.
  • Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
  • Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
  • Experience defining measurement strategy for advertising platforms, marketplaces, or large-scale recommendation systems.
  • Publications, patents, or widely adopted internal methodologies in causal inference, experimentation, econometrics, or applied machine learning.
  • History of mentoring senior scientists and elevating organizational scientific capability.
  • Experience influencing director- or VP-level technical strategy.

#MicrosoftAI
Applied Sciences 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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