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Intern Baseball Data Science Jobs in Seattle, WA

Docugami

Data Science PhD Intern

Kirkland, WA

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 JobsIntern Baseball Data Science JobsIntern Baseball Data Science Jobs in Seattle, WA

Intern Baseball Data Science information

See Seattle, WA salary details

$10

$19

$27

How much do intern baseball data science jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for intern baseball data science in Seattle, WA is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is an intern baseball data science?

An Intern Baseball Data Science is a temporary position, usually for students or recent graduates, where the intern assists professional baseball organizations in analyzing game and player data. The role typically involves working with large datasets, using statistical methods and programming languages like Python or R to uncover insights that can improve team performance or strategy. Interns may help with data collection, cleaning, and visualization, and often collaborate with coaches, scouts, and analysts. This position is designed to provide hands-on experience in sports analytics and prepare interns for a potential career in data science within the sports industry.

What do interns in baseball data science do?

As an Intern in Baseball Data Science, you can expect to work on a variety of projects such as analyzing player performance data, building predictive models for game outcomes, and assisting with the visualization of statistical insights for coaches and scouts. Interns often clean and organize large datasets, contribute to ongoing research, and collaborate closely with data scientists, analysts, and baseball operations staff. This hands-on experience not only builds technical and analytical skills but also provides exposure to how data-driven decisions are made in a professional sports environment.

What skills and qualifications are needed to thrive as an intern in baseball data science?

To thrive as an Intern in Baseball Data Science, you need a strong background in statistics, data analysis, and programming, often supported by coursework in mathematics, computer science, or a related field. Familiarity with tools such as Python or R, SQL databases, and data visualization platforms like Tableau is typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this position. These skills and qualities are essential for accurately analyzing player and game data, providing actionable insights, and contributing to team decision-making.

What is the difference between Intern Baseball Data Science vs Intern Sports Data Analysis?

AspectIntern Baseball Data ScienceIntern Sports Data Analysis
Required CredentialsRelevant coursework in data science, basic programming skills, knowledge of baseball statisticsCoursework in sports analytics, data analysis, programming, and sports management
Work EnvironmentBaseball teams, sports analytics firms, or sports media companiesSports organizations, media outlets, or analytics firms covering various sports
Industry UsageFocused on baseball-specific data, player performance, game strategiesBroader sports data, including multiple sports types and general performance metrics

Intern Baseball Data Science primarily concentrates on baseball-specific data analysis, requiring knowledge of baseball statistics and programming. In contrast, Intern Sports Data Analysis covers multiple sports, emphasizing broader data skills across various athletic disciplines. Both roles involve working in sports environments but differ in scope and specialization.

What are popular job titles related to Intern Baseball Data Science jobs in Seattle, WA?

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

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

The top searched job categories for Intern Baseball Data Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Intern Baseball Data Science jobs?

Cities near Seattle, WA with the most Intern Baseball Data Science job openings:

Intern Baseball Data Science jobs near you
Infographic showing various Intern Baseball Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 11% Internship, 75% Full Time, and 14% Part Time. Highlights an 56% In-person, 29% Hybrid, and 15% Remote job distribution, with an average salary of $40,327 per year, or $19.4 per hour.

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Seattle, WA • On-site

$108 - $160/hr

Other

Medical, Retirement

Posted 3 days ago

New

Job description

Robotics - Data Science Intern / Co-op - 2026

Amazon |

Amazon | Posted Mar 9

Full-time

Seattle

Entry (0-2 yrs)

Description

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world’s most beloved brands.

We’re looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas such as robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more!

We’re looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

Amazon intern and co‑op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co‑ops. Amazon internships across all seasons are full‑time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work‑day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.

Key job responsibilities
  • Design and implement state-of-the-art solutions for never-before-solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight our customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
About The Team

https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center

https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Basic Qualifications
  • Are 18 years of age or older
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field
  • Must be eligible for and available for full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op
  • At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
  • At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Excellent communication skills with ability to explain complex technical concepts to non‑technical audience, while also efficiently interacting with deeply technical peers
  • Understanding of data engineering and business intelligence
  • Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience with Natural language processing (NLP) and working with large language models
  • Experience with causal inference modeling
  • Experience with A/B testing and data wrangling

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn't listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, MA, N.Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, North Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBORO - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBOROUGH - 108,300.00 - 160,000.00 USD annually

USA, MA, Westboro - 108,300.00 - 160,000.00 USD annually

USA, MA, Westborough - 108,300.00 - 160,000.00 USD annually

USA, WA, BELLEVUE - 108,300.00 - 160,000.00 USD annually

USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

USA, WA, SEATTLE - 108,300.00 - 160,000.00 USD annually

USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually

Company

Amazon.com Services LLC

About the company

Amazon

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