Reports To: Assistant GM, Analytics
This position is responsible for assisting in the analysis of baseball datasets through the use of advanced statistical techniques, with the goal of building and maintaining interpretable predictive models and player valuation frameworks to aid in the decision-making of Baseball Operations executives.
Execute SQL database queries to filter, clean and prepare data from existing database
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 frontend 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
Deep passion for baseball and baseball analytics
Familiarity with SQL
Familiarity with R or Python
In-depth understanding of statistical analyses and data mining techniques, and experience working with large datasets
Strong written and oral communication and presentation skills
Excellent interpersonal skills and the ability to work well with staff members of all levels
Willingness to work non-traditional hours (various nights, weekends, holidays)
The statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The duties listed do not represent an exhaustive list of all responsibilities, duties, and skills required of a person in this position.
Equal Opportunity Statement:
The Baltimore Orioles are an Equal Opportunity Employer. It is the policy of the Baltimore Orioles to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.