The Phillies Baseball Operations need to improve their strategies by processing, analyzing, and interpreting large and complex data.
Requirements
- Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
- Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
- Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
- 0-5+ years of relevant work experience
- Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions
Responsibilities
- Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications
- Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
- Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
- Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
- Provide input to database architecture to ensure efficient application of baseball data
Other
- Willingness to work as part of a team on complex projects
- Proven leadership and self-direction
- Submit a response for the prompt: The R&D department has been asked to identify the best defensive first baseman in baseball. What models would you build to answer that question, and how would you apply those models to decision-making?
