Job posting

Job posting: Toronto Blue Jays Amateur Scouting Analyst

Title: Amateur Scouting Analyst

Primary objective: Support the Toronto Blue Jays Amateur Scouting Service by conducting original research, interpreting research for amateur scouting personnel, maintaining existing patterns and measurements, and contributing to ongoing player evaluations. Work to integrate new information flows more effectively into drafting processes.

The Blue Jays believe that diversity and employment equity are essential to creating a successful culture. Applicants who traditionally do not feel qualified to apply for a job in this field are strongly encouraged to apply. Please feel free to include your questions about the position with your application or contact [email protected]

To apply, please submit an application at the link below:


  • Design, implement and maintain advanced descriptive metrics and predictive models related to the amateur draft.
  • Collaborate with front office staff and Amateur Scouting staff to interpret the results of internal models and measurements, including creating reports, charts and other tools to provide information to end users.
  • Work with research and development staff to provide constructive feedback on existing products adjacent to the amateur draft.
  • Contact the Boy Scouts to identify interesting or undervalued players.
  • Perform ad hoc database queries and analyzes as appropriate.
  • Recommend new data sources to purchase and / or new techniques to collect proprietary data.
  • Work to integrate new information into existing processes and infrastructure of baseball operations.
  • Collaborate with Amateur Scouting front office staff on the implementation of data and player analysis in the current scouting process.
  • Provide written player evaluations on current draft prospects.
  • Assist in the development of Amateur Scouting staff by providing player analysis, amateur draft research and interpretation of new data sources.

Job requirements:

  • Demonstrated passion, interest or expertise in baseball, ideally related to amateur scouting.
  • Excellent reasoning, problem solving, creative thinking and communication skills.
  • Strong interpersonal skills to communicate effectively and respectfully with technical and non-technical personnel within baseball operations
  • Demonstrated ability to successfully design and execute rigorous quantitative research projects.
  • Ability to train and debug complex multivariate models.
  • Good understanding of current baseball research as it relates to the Amateur Draft.
  • Proficiency in R, Python or other similar mathematical language.
  • Proficiency in SQL and relational databases.
  • Ability to read, speak and understand English effectively.
  • The ability to work with multicultural populations and a commitment to equity and equality.
  • Ability to work evenings, weekends and holidays according to the baseball schedule.

Relevant, but not required:

  • Working proficiency in Spanish or another language (eg, Japanese, Korean) with applications to baseball.
  • Published quantitative baseball research (online or in print), related experience with sports teams and / or open source code for review.
  • Demonstrated experience with machine learning methods including clustering, random forests, boosting and neural networks.
  • Previous experience in amateur scouting or evaluating players more generally.
  • Experience in combining qualitative and quantitative data within a single model
  • Experience in computer vision, anomaly detection or other unique skill set with video analysis applications

The content for this post has been created and provided solely by the Toronto Blue Jays.

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