Job Summary
This position is responsible for assisting in the creation and maintenance of econometric tools to support decision-making in Baseball Operations, with a focus on labor market economics and asset valuation.ย The employee will work closely with the professional scouting and analytics departments to inform strategic thinking.
Primary Responsibilities
- Research economic issues pertaining to roster construction and player acquisition.
- Design, analyze, and test interpretable predictive models and tools using R or Python.
- Execute SQL database queries to filter, clean and prepare data from existing database.
- Work with end users to understand modeling needs.
- Assist with database management.
- Perform other duties and ad-hoc reports as assigned.
Desired Qualifications
- Completion of or progressing towards Bachelor's degree in Economics, Finance, Mathematics, Operations Research, Statistics, or a related field. Applicants with a non-traditional educational background and experience will be considered as well.
- Familiarity with SQL and R/Python
- Familiarity with MLB's Collective Bargaining Agreement and transaction rules.
- Strong interest in MLB transactions involving player personnel
- Strong written and oral communication skills.
- Excellent interpersonal skills with the ability to collaborate with staff members of all levels.
- Willingness to work non-traditional hours (nights, weekends, holidays).
The anticipated hourly rate for this role is $18 - $20/hour depending on experience.ย
ย ย
The Baltimore Orioles are committed to providing competitive pay and benefits for our employees.ย ย ย
ย ย
This information is being provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.ย