Build, maintain, test, and communicate a wide variety of predictive models and analyses that will help to inform all aspects of baseball operations.
Requirements
- Expertise in R and/or Python for data science.
- Expertise in SQL.
- Ability to independently apply machine learning, advanced statistical methods, and deep learning to solve business problems.
- Experience interacting with the cloud such as AWS, Microsoft Azure, or Google Cloud.
Responsibilities
- Build and support predictive models for player evaluation, player development, advance scouting, and other baseball-related topics.
- Collaborate in the design and planning of new predictive models and assist others with machine learning and statistical projects.
- Evaluate new sources of data for quality and predictive power.
- Work closely with data engineers, analytics engineers, and application developers in developing end to end analytical pipelines.
- Present conclusions and recommendations to others in Baseball Operations and incorporate their feedback.
- Help ensure that leaders in Baseball Operations have up to date information in terms of player projections and statistics.
Other
- Bachelor's degree, master's degree, or PhD in statistics, data science or related field.
- 3+ years professional experience using baseball data to build predictive models.
- Strong ability to communicate and explain statistical topics to a wide variety of audiences.
