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Computer Science Associate Degree Jobs in Redmond, WA

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

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 ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics ...

Microsoft

Principal Data Scientist - FDE

Redmond, WA · On-site

... 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 ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

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All JobsComputer Science Associate Degree JobsComputer Science Associate Degree Jobs in Redmond, WA

Computer Science Associate Degree information

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How much do computer science associate degree jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computer science associate degree in Redmond, WA is $17.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $17.79 per hour, depending on experience, location, and employer.

What is a computer science associate degree?

A Computer Science Associate Degree is a two-year undergraduate program that provides foundational knowledge in computer programming, software development, algorithms, and information technology. This degree is designed to prepare students for entry-level positions in the tech industry or to transfer to a four-year college to pursue a bachelor's degree. Coursework typically includes programming languages, data structures, computer systems, and mathematics. Graduates often find jobs as computer support specialists, web developers, or junior programmers, or continue their education for advanced opportunities.

What types of entry-level positions are typically available to graduates with a computer science associate degree, and how do these roles contribute to career growth?

Graduates with a Computer Science Associate Degree often find entry-level positions such as technical support specialist, junior web developer, IT technician, or help desk analyst. These roles offer hands-on experience with troubleshooting, coding, and system maintenance, providing a strong foundation in both technical and workplace skills. By collaborating with more experienced IT professionals and engaging in real-world projects, employees can build their expertise and position themselves for advancement into roles like systems administrator, software developer, or network engineer. Many employers also encourage continued learning and may offer tuition assistance for further education.

What are the key skills and qualifications needed to thrive with a computer science associate degree, and why are they important?

To thrive with a Computer Science Associate Degree, you need a solid grasp of programming fundamentals, problem-solving abilities, and basic knowledge of computer systems and networks, typically supported by coursework in languages like Python, Java, or C++. Familiarity with version control systems (such as Git), database management tools, and foundational certifications like CompTIA A+ can enhance employability. Strong analytical thinking, effective communication, and teamwork skills help individuals stand out when working on collaborative projects or technical support roles. These combined skills are crucial for adapting to diverse technology environments and contributing effectively to IT or software development teams.

What is the difference between Computer Science Associate Degree vs Computer Support Specialist?

AspectComputer Science Associate DegreeComputer Support Specialist
CredentialsAssociate degree in computer science or related fieldCertifications like CompTIA A+ often preferred
Work EnvironmentClassroom, labs, or entry-level office settingsHelp desks, technical support centers, client sites
Industry UsageFoundational education for various IT rolesTechnical support, troubleshooting, customer service
Search/Comparison IntentUnderstanding educational pathways and entry-level rolesJob responsibilities and certifications needed

The Computer Science Associate Degree provides foundational knowledge in programming, algorithms, and systems, preparing graduates for various IT roles. In contrast, a Computer Support Specialist focuses on troubleshooting, customer support, and technical assistance, often requiring specific certifications. Both roles are essential in the tech industry, but they serve different functions and career paths.

Are computer science associate degree majors still in demand?

Computer science associate degree majors are still in demand as many employers seek entry-level professionals with foundational programming, networking, and problem-solving skills. These degrees can lead to roles in IT support, software testing, and technical support, especially when combined with certifications like CompTIA or Cisco. The demand is driven by ongoing growth in technology sectors and digital transformation across industries.

Is IT worth getting an associate's degree in computer science?

An associate's degree in computer science can provide foundational skills for entry-level IT roles such as support specialist or technician, often requiring knowledge of operating systems, networking, and basic programming. It can lead to job opportunities with less time and cost compared to a bachelor's degree, but career advancement may require further education or certifications like CompTIA or Cisco certifications.

What can you do with a computer science associate degree?

A computer science associate degree prepares individuals for entry-level roles such as software support specialist, web developer, or IT technician. It provides foundational skills in programming, troubleshooting, and computer systems, which can lead to further certifications or education for advanced positions.

What are popular job titles related to Computer Science Associate Degree jobs in Redmond, WA?

For Computer Science Associate Degree jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Computer Science Associate Degree jobs in Redmond, WA look for?

The top searched job categories for Computer Science Associate Degree jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Computer Science Associate Degree jobs?

Cities near Redmond, WA with the most Computer Science Associate Degree job openings:

Computer Science Associate Degree jobs near you
Infographic showing various Computer Science Associate Degree job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,918 per year, or $17.3 per hour.

Senior Data Scientist - Media Data Science & Analytics

Microsoft

Redmond, WA • On-site

Full-time

Posted 19 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

80th of 246 rated software companies

Job description

Overview
We're building a Frontier Marketing organization where the Media Data Science & Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media investments. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision-making and measurable business outcomes across paid media and owned digital properties.
We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize campaign impact, and accelerate innovation in media strategy.
To support this transformation, we are seeking a Senior Data Scientist to help us measure the incremental impact of advertising spend and use that to help our media planning partners optimize media campaigns.
Marketing data science is inherently challenging: data is often observational, incomplete, biased, or limited in scale, and outcomes unfold over time across complex systems. The successful candidate will be someone who can apply rigorous causal methods, exercise sound statistical judgment, and translate uncertainty into actionable insights that inform high-stakes investment decisions.
Responsibilities
Causal Measurement & Business Impact
  • Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality testing, observational analysis) to estimate the true impact of media investments in settings where randomized experiments may be limited or infeasible.
  • Evaluate the effectiveness of marketing strategies while explicitly accounting for data limitations, confounding, selection bias, and uncertainty.
  • Translate complex causal findings into clear, decision-oriented narratives for senior marketing and business stakeholders.

Modeling, Statistics & Analysis
  • Apply advanced statistical techniques and machine learning where appropriate, with a bias toward interpretability and causal validity over purely predictive performance.
  • Balance methodological rigor with pragmatism, selecting approaches that are fit for purpose given the data and business context.
  • Write high-quality analytical code (Python, SQL) to support reproducible research, exploratory analysis, and ongoing measurement efforts.
  • Identify opportunities to improve measurement approaches, challenge existing assumptions, and introduce best practices grounded in both academic research and industry experience.

Data Understanding & Stewardship
  • Prepare, validate, and analyze complex marketing datasets, identifying data quality issues, structural changes, and limitations that materially affect inference.
  • Communicate data risks, constraints, and implications proactively to senior partners, ensuring conclusions are appropriately scoped and caveated.
  • Uphold high standards for data ethics, privacy, and responsible use, with careful attention to how data is collected, modeled, and interpreted.

What Success Looks Like
  • Media investment decisions are better informed by clear, credible causal insights rather than surface-level correlations.
  • Stakeholders understand not only what the data suggests, but how confident we are and why.
  • Analytical recommendations appropriately reflect data constraints and uncertainty, earning trust through transparency and rigor.
  • The team consistently applies causal thinking to difficult, ambiguous marketing problems, even when the data is imperfect.

Qualifications
Required/Minimum Qualifications
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ 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 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 6+ 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 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • 5+ years' experience building ML models.
  • 5+ years' experience writing SQL to analyze data.
  • 5+ years' experience writing code in Python.
  • 3+ years' communicating complex technical concepts to non-technical partner teams.
  • 1+ years' experience performing causal inference
  • 1+ years' experience with media / marketing data science

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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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