Player Valuation Research Analyst

2 weeks ago

Toronto, Canada Toronto Blue Jays Full time

**Overview**:
**Primary Focus**:

- Provide objective player valuations using proprietary tools and data.
- Work across departments (Scouting, Player Development, Research, etc.) to improve our internal process for evaluating players. Collaborate with scouts and analysts to inform player evaluations during drafts and meetings.

**Responsibilities and Duties**:

- File scouting reports on acquirable players based on a thorough review of available data and video assets.
- Interrogate outputs of predictive models to identify potentially undervalued acquirable players.
- Integrate lab-based and performance technology data (e.g.: force plates, motion capture, combine data, etc.) into player valuation workflows to enhance scouting and development insights.
- Leverage Hawkeye and other tracking systems to identify trends, validate scouting observations and uncover undervalued player traits.
- Perform deep-dive case studies on acquisition targets to improve valuation processes.
- Maintain and enhance existing valuation models to ensure consistency and accuracy.
- Monitor player performance trends to identify undervalued talent or areas of concern.
- Stay updated on the latest developments in baseball analytics and player valuation methodologies. Identify market inefficiencies by analyzing trends across MLB and minor league performance data.

**Experience and Job Requirements**:

- Familiarity with baseball rules, strategies, and player development pathways.
- Experience with video analysis platforms and tools (e.g., Synergy, BATS, or proprietary systems).
- Excellent communication and collaboration skills to work effectively with scouts and front-office personnel.
- Ability to manage multiple projects and meet deadlines in a fast-paced environment.
- 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. Possible travel of 10-20 nights per year.

**Beneficial Experience**:

- Previous involvement in baseball analytics, player development or scouting (professional or amateur).
- Working knowledge of baseball projection systems.
- Proficiency with R, Python, or other similar statistical language.
- Proficiency with SQL and relational databases.
- Experience working with scouting reports or baseball statistical databases.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

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