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Sports Data Science Internship Jobs in Seattle, WA

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

AEG

Intern, Data Science

Seattle, WA · On-site

$23/hr

Manager, Data Science Status: Hourly, Non-exempt Timeline: Preference will be given to candidates ... other sports research preferred. • Experience building and interpreting predictive models ...

Stryker

Data Science Intern - Remote

Seattle, WA · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Tacoma, WA · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Stryker

Data Science Intern - Remote

Bellevue, WA · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

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All JobsSports Data Science JobsSports Data Science Internship JobsSports Data Science Internship Jobs in Seattle, WA

Sports Data Science Internship information

See Seattle, WA salary details

$13

$25

$47

How much do sports data science internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for sports data science internship in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What is a sports data science internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

What types of projects or tasks can I expect to work on during a sports data science internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What are the key skills and qualifications needed to thrive as a sports data science intern, and why are they important?

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

What is the difference between Sports Data Science Internship vs Sports Data Analyst?

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What are popular job titles related to Sports Data Science Internship jobs in Seattle, WA?

For Sports Data Science Internship jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Sports Data Science Internship jobs in Seattle, WA look for?

The top searched job categories for Sports Data Science Internship jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Sports Data Science Internship jobs?

Cities near Seattle, WA with the most Sports Data Science Internship job openings:

Sports Data Science Internship jobs near you
Infographic showing various Sports Data Science Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 32% Internship, 57% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Science: Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$7.4K - $12K/mo

Full-time, Internship

Posted 2 days ago

New

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies

Job description

Overview
Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and/or AI, LLM, SLM and agents, and more to build and improve great products while making business impact. You will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
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 and 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.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site careers site
Responsibilities
  • Formulate approaches to solve problems using well defined algorithms and data sources.
  • Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
  • Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
  • Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
  • Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
  • Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

Qualifications
Required Qualifications:
  • Currently pursuing a Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred Qualifications:
  • Currently pursuing a Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
  • Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
  • Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.
  • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
  • Some experience and or project course work with product and service telemetry systems.
  • Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.
  • Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.

The base pay range for this internship is USD $5,690.00 - $11,210.00 per month. 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 $7,410.00 - $12,250.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
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.

What Microsoft employees say

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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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