Baseball Data Science Intern: Modeling & Research

Seattle Mariners; Seattle (WA); On-site; USD 26,000 - 37,000; Part time

Benefits offered by this job

Paid public transportation

Merchandise discounts

Special access to baseball games

Exclusive employee incentives

Job summary

Seattle Mariners in Seattle seek a seasonal data scientist to support baseball operations with statistical modeling, research, and data visualizations. You will analyze Trackman and Hawkeye data and contribute to various baseball-focused projects.

The role is hourly and seasonal, with January 2027 start and mid-October 2027 end. Candidates should have strong math, statistics, CS/engineering background, and proficiency in Python, R, or Julia, plus SQL; prior sports data research is a plus.

Qualifications

• Bachelor’s degree preferred. Public research and work experience may be considered.
• Strong foundation in mathematics, statistics, computer science, and/or engineering.
• Proficiency in programming with Python, R, or Julia.
• SQL proficiency preferred.
• Experience with predictive modeling and AI tools welcomed.

Responsibilities

• Model statistical relationships using Trackman, Hawkeye, and proprietary data.
• Conduct ad hoc queries and quantitative research.
• Support baseball operations through data science projects.

Skills

Statistical modeling

Quantitative research

Programming (Python/R/Julia)

Ad hoc analysis

Education

Bachelor's degree preferred

Tools

Python

R

Julia

SQL

Job description

Seattle Mariners in Seattle seek a seasonal data scientist to support baseball operations with statistical modeling, research, and data visualizations. You will analyze Trackman and Hawkeye data and contribute to various baseball-focused projects.

The role is hourly and seasonal, with January 2027 start and mid-October 2027 end. Candidates should have strong math, statistics, CS/engineering background, and proficiency in Python, R, or Julia, plus SQL; prior sports data research is a plus.