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Master Data Scientist Jobs in Seattle, WA (NOW HIRING)

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 ...

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

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 ...

Data Scientist III

Seattle, WA · On-site

$126.98 - $200.68/hr

Master's or PhD degree in Bioinformatics, Statistics, Biostatistics, Mathematics, Computer Science ... A variety of data formats and markup languages (e.g. XML, JSON, RMarkdown). * Unix/Linux and ...

... 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 ...

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing ...

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in ...

Principal, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

A principal data scientist would be expected to play a lead technical role in architecting data ... PhD with > 10 years of experience / Master's degree with > 12 years of experience. Educational ...

... 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 ...

Staff, Data Scientist

Bellevue, WA · On-site

$132K - $264K/yr

A Staff data scientist would be expected to play an important role in developing and scaling data ... Qualifications PhD with > 6 years of experience / Master's degree with > 8 years of experience.

... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ... Master's or PhD in Economics, Statistics, or a related quantitative field * Industry experience ...

Sr. Data Scientist

Seattle, WA · On-site

$110 - $140/hr

Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. Three additional years of related experience may be substituted ...

A principal data scientist would be expected to play a lead technical role in architecting data ... PhD with >10years ofexperience /Master'sdegree with >12years of experience.Educational ...

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Showing results 1-20

Master Data Scientist information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do master data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for master data scientist in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What is a master data scientist?

A Master Data Scientist is an advanced-level professional who specializes in analyzing complex data sets to extract meaningful insights, drive strategic decisions, and solve business problems. They combine expertise in statistics, machine learning, programming, and domain knowledge to design and implement sophisticated data models. Master Data Scientists often lead data science teams, mentor junior members, and play a key role in setting data strategy and best practices within an organization. Their work is integral to optimizing processes, predicting trends, and supporting innovation across various industries.

What are the key skills and qualifications needed to thrive as a master data scientist?

A Master Data Scientist typically requires advanced statistical knowledge, strong programming skills (such as Python or R), and a graduate degree in a quantitative field. Expertise with machine learning frameworks, big data platforms (like Hadoop or Spark), and data visualization tools, as well as certifications such as Certified Analytics Professional (CAP), are highly valued. Exceptional problem-solving, communication, and leadership skills help drive impactful insights and collaborate across teams. These competencies enable data-driven decision-making and innovation, ensuring that complex analytical projects deliver actionable business value.

How does a master data scientist typically collaborate with cross-functional teams within an organization?

As a Master Data Scientist, you'll frequently work alongside departments such as engineering, product management, and business analytics. Collaboration often involves translating complex data insights into actionable business strategies or product features. You'll also guide less experienced data scientists, ensuring analytical consistency and mentoring junior team members. Effective communication and the ability to present findings to both technical and non-technical stakeholders are key parts of the role.

What is the difference between Master Data Scientist vs Data Scientist?

AspectMaster Data ScientistData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), specialized certificationsBachelor's or Master's degree, relevant certifications
Work EnvironmentResearch-focused, complex data projects, leadership rolesData analysis, model development, reporting
Employer & Industry UsageTech firms, finance, healthcare, research institutionsStartups, corporations, consulting firms
Search & Comparison IntentHigher expertise, leadership, advanced skillsEntry to mid-level roles, foundational skills

The Master Data Scientist typically has advanced education and handles complex projects, often leading teams or research efforts. Data Scientists usually possess foundational to intermediate skills, focusing on data analysis and model building. The Master Data Scientist role is more specialized and senior, while Data Scientist roles are more common and entry-level to mid-level positions.

Is it worth it to do a master's in data science?

A master's in data science can enhance a Master Data Scientist's skills in advanced analytics, machine learning, and data management, often leading to higher-level positions and increased salary potential. However, practical experience, certifications, and continuous learning are also critical in this field, and some roles value hands-on skills over formal education alone.

What can I do with a master of data science?

A master of data science prepares individuals for roles such as data scientist, data analyst, or machine learning engineer. Graduates can work in industries like technology, finance, healthcare, and marketing, applying skills in statistical analysis, programming, and data visualization using tools like Python, R, and SQL. Advanced positions may require experience or certifications in specific areas like deep learning or cloud computing.

What are popular job titles related to Master Data Scientist jobs in Seattle, WA?

For Master Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Master Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Master Data Scientist jobs in Seattle, WA are:

Infographic showing various Master Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Principal Data Scientist

Redmond, WA • On-site


Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees

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

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 19 days ago


Job description

Overview
Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team.
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
  • Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business.
  • Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data.
  • Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms.
  • Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
  • Build a metrics system to measure Business Health and quickly identify the root cause when metrics move.
  • Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
  • Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results.
  • Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.

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.
  • 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
  • Previous product analytics, web analytics and or content analytics experience.
  • Interpersonal communication and ability to leverage the data to tell a story.
  • Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.
  • Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).
  • Knowledge of Content ecosystem, Ads and online shopping metrics.

#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

Sourced by ZipRecruiter

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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Benefits

Hours and flexibility

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