Quantitative Analyst Associate (Spring/Summer 2026)
- Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
- 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
- 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
- Proven willingness to both teach others and learn new techniques
- Willingness to work as part of a team on complex projects
- Proven leadership and self-direction
- 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
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