Data Scientist Fellow, Baseball Analytics

Position Overview

Title: Data Scientist Fellow
Reports To: Assistant GM, Analytics
Department: Baseball Analytics
Job Type: Part-time, seasonal, hourly

This position is responsible for creating and analyzing baseball datasets through the use of advanced statistical techniques. The goal is to build and maintain interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.

Key Responsibilities

• Identify, diagnose and resolve data quality issues.
• Work with end users to understand modeling needs.
• Design, analyze, test and implement interpretable predictive models using R or Python.
• Work with users and developers to create usable tools for the customers.
• Evaluate, recommend and integrate new data sources (internal and 3rd party external data sources).
• Complete ad-hoc reports or small studies as assigned throughout the year.
• Execute SQL database queries to filter, clean and prepare data from existing database.

Required Qualifications

• Deep passion for baseball and baseball analytics.
• Understanding of statistics and statistical models.
• Strong written and oral communication and presentation skills.
• Excellent interpersonal skills and the ability to work well with staff members of all levels.

Preferred Qualifications

• Currently enrolled in or completed bachelor’s Degree in Statistics, Analytics, Operations Research, Mathematics, Computer Science, or equivalent.
• Experience with SQL.
• Experience with R or Python and pragmatic mathematical modeling.
• Experience with statistical analyses, data mining techniques, and working with large datasets.

Benefits & Perks

• Compensation: $20/hour
• Provided in accordance with the Maryland Equal Pay for Equal Work - Wage Range Transparency law.
• The Baltimore Orioles are an Equal Opportunity Employer.