Department: Baseball Operations
Reports To: Manager, Data Science
Status: Hourly, Non-exempt
Timeline: Preference will be given to candidates who can start by January 1, 2027 or sooner, and work through mid-October 2027.
Primary Objective: Responsible for supporting all areas of baseball operations through baseball-related data science, including statistical modeling, research, visualizations, and other projects.
Essential Functions:
● Statistical modeling and analysis of a variety of data sources including Trackman, Hawkeye, and proprietary data sets.
● Ad hoc queries and quantitative research.
● Will perform other duties as assigned.
Education and Experience:
● Bachelor’s degree preferred. Public research and work experience may be considered in lieu of education requirements if approved by management.
● A strong foundation in mathematics, statistics, computer science, and/or engineering required.
● Proficiency in programming with either R, Python, or Julia required.
● Proficiency with SQL preferred.
● Track record of original baseball research or other sports research preferred.
● Experience building and interpreting predictive models preferred.
● Experience working with AI programming tools, such as Claude Code, Cursor, Codex, or Copilot welcomed.
Compensation Rate/Range:
The Mariners are committed to providing competitive pay, perks and benefits packages for our valued Team Members. This information is being provided in accordance with the Washington State Equal Pay and Opportunity Act.
The anticipated pay for this seasonal role is $23 per hour. The Mariners also provide a robust and unique offering of perks and benefits including paid public transportation, merchandise discounts, special access to baseball games and other public events, and a number of exclusive employee incentives. All perks are subject to eligibility requirements and availability and may be modified or amended from time to time.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.