Analyst, Baseball Research

4 months ago

Toronto, Canada Toronto Blue Jays Full time

**Overview**

**Primary Focus**:

- To conduct baseball research and contribute to ongoing departmental research.
- To create tools that incorporate data into the decision-making process, as well as learning how decisions are made in all areas of Baseball Operations and working to improve those processes.

**Responsibilities and Duties**:

- Design, test, implement and maintain advanced baseball metrics and predictive models in order to contribute to strategy and decisions across all departments within Baseball Operations.
- Examples of research projects and focuses could include visualizing and analyzing extremely large data sets, Bayesian inference, time series analysis, biomechanical analysis, solving computer vision problems, causal inference and/or spatial analysis.
- Utilize and stay up to date with new and emerging data science techniques and methods.
- Collaborate with members of the Research and Development Department to provide constructive feedback on their projects.
- Recommend new data sources for purchase and/or new techniques to gather proprietary data.
- Work to integrate new information into existing Baseball Operations processes and infrastructure.

**Experience and Job Requirements**:

- Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
- Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, scouts, and field staff.
- Demonstrated ability to successfully design and execute rigorous quantitative research projects.
- Strong understanding of current baseball research.
- Proficiency with R, Python, or other similar statistical language.
- Proficiency with SQL and relational databases.
- Ability to read, speak, and comprehend English effectively.
- The ability to work with multicultural populations and a commitment to fairness and equality.
- Ability to work occasional evening, weekend, and holiday hours as dictated by the baseball calendar.

**Beneficial Experience**:

- Experience with Stan or another probabilistic programming language.
- Experience with computer vision models and techniques.
- Published quantitative research about baseball (either online or print), related experience with sports teams or facilities, and/or open source code to review is a plus.
- Demonstrated experience with machine learning methods, including clustering, boosting models, and neural networks.
- Any additional technical skills, such as experience with AI, baseball biomechanical data, motion capture systems, or experience with the Tensorflow, PyTorch, or OpenCV frameworks are a plus.
- Experience with Shiny, Tableau, or other interactive research interfaces are a plus.

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