The Miami Marlins are looking to develop sophisticated statistical models, advance player performance forecasting, and translate insights into actionable recommendations for their front office through the Baseball Analyst and Data Scientist roles.
Requirements
- Proficiency in programming languages such as Python, R, and SQL.
- Experience in advanced modeling approaches preferred (Bayesian methods, neural networks, time-series forecasting)
- Experience with probabilistic programming languages preferred (Stan, PyMC)
- Strong analytical and problem-solving skills.
- Experience with Git and cloud-based computing preferred.
- Familiarity with public baseball research.
- 0-2 years of experience in a data analysis role.
Responsibilities
- Construct advanced statistical models to support decision-making within Baseball Operations.
- Convert key baseball (and physical) concepts into metrics, features, and insights for consumption by the Baseball Solutions and Baseball Research departments, as well as those outside of R&D.
- Develop and maintain production pipelines for daily implementation of statistical models.
- Collaborate with other analysts, engineers, and stakeholders to identify opportunities for improvement.
- Manage and clean large datasets from various sources.
- Provide actionable insights through detailed statistical analysis.
- Assist with recruiting and evaluating applicants to join the Baseball R&D team.
Other
- Ability to communicate to technical and non-technical audiences
- Passion for baseball are essential for success in these positions.
- Excellent written and verbal communication skills.
- Ability to manage multiple tasks and meet deadlines.
- Collaborative mindset and willingness to work in a team environment.
