Baseball Operations - Entry Level Opportunities at Toronto Blue Jays in Toronto, Ontario

Job description

• The Toronto Blue Jays are seeking highly motivated and creative individuals to assist with day-to-day tasks across various areas of Baseball Operations, including Scouting, Player Development, High Performance, and Research & Development/Analytics. Start and end dates are flexible depending on the specific role, and we will consider both full-season and partial-season candidates. These positions are paid and may be based in Toronto, ON; Dunedin, FL; or one of our affiliate locations across Canada, the United States, or the Dominican Republic.
• Hiring processes for some roles may not begin until the offseason; however, this posting will remain open and will serve as the entry point for those positions.
• Role Summaries

Responsibilities

• This role is ideal for candidates interested in working closely with coaches and players through embedding themselves with teams at the Blue Jays’ development complexes or affiliates.
• Serving as the point person for video, technology, and data resources
• Deploying and operating technology for recording data during both practice and game settings
• Organizing, cataloging, distributing, and reviewing video and data/advance resources for affiliate staff and other PD personnel
• Contributing to advance scouting and game planning preparation and delivery
• Helping to track player goals and progress over the course of the season and collaborating across departments (Minor League Operations, Nutrition, High Performance) to support projects and processes
• Assisting with on-field activities (batting practice, fungos, catching pens) and day-to-day logistical needs of the team as needed
• Candidates with excellent organizational skills and attention to detail will support the logistical and administrative functions of the scouting, player development, or baseball operations departments.
• Organizing, entering, and maintaining data and/or video resources
• Supporting departmental administrative tasks (expense reports, compiling statistics and rosters, meeting logistics, etc.) and responding to ad-hoc logistical or organizational needs
• Contributing to player evaluation processes through review of video and data
• In the Player Development department, additional duties may include translating documents to/from English and Spanish, and assisting with integration of technology into on-field or lab work
• This role involves supporting the Major League team or a minor league affiliate team with game-by-game and series-by-series preparation, using strong baseball knowledge to assist with.
• Collecting and organizing statistics for scouting reports, identifying patterns in player performance and team tendencies
• Editing and assembling video clips/visual presentations relevant to upcoming matchups
• Conducting ad-hoc research and analysis on players or the game of baseball in general
• Watching video to provide written evaluations and insights to coaching staff, helping to shape game strategies
• Supporting on-field video and data collection during games and practice, and operating game-prep technology
• Using analytical reporting and/or data science skills to create new game preparation resources, post-game or performance feedback reports, or other tools to support the team
• This role is geared towards analytical thinkers passionate about using data to uncover new insights in baseball.
• Conducting self-directed research using R, Python, SQL or similar tools
• Working on areas like data acquisition, organization, and cleaning, as well as statistical modeling and visualization
• Presenting research findings to front office members, coaches, or players, ensuring the work is accessible and actionable
• Providing logistical support during major baseball events like the Draft or Trade Deadline
• This role focuses on creating and supporting internal web applications for Baseball Operations.
• Designing intuitive front-end web interfaces for internal baseball information systems
• Collaborating with end users to gather requirements, ensuring systems meet operational needs
• Experiencing and providing logistical support to key points on the baseball calendar
• This role focuses on creating and supporting the databases used by Baseball Operations.
• Responsibilities may include
• Engineering systems to acquire and store new datasets, improving data accessibility
• Collaborating with end users to gather requirements, ensuring systems meet operational needs
• Experiencing and providing logistical support to key points on the baseball calendar
• This role is ideal for candidates interested in applying biomechanics and sports science research methods to generate insights into player movement, performance, and development. Successful candidates will be curious, self-directed learners with strong problem-solving skills and an interest in using data to answer complex questions in baseball.
• Conduct self-directed research using SQL, R, Python, or similar tools to analyze biomechanical, sports science, and baseball datasets, uncover trends, maintain data quality, and deliver meaningful insights
• Building reports, dashboards, and data visualizations to communicate findings to coaches, players, and front office staff
• Researching and evaluating emerging technologies, analytical methods, and scientific literature relevant to player performance and health
• Collaborating with stakeholders across Scouting, Player Development, High Performance, and R&D to develop and answer research questions
• Assisting with the collection, organization, and management of biomechanical and performance data

Requirements

• Passion for baseball, with excellent reasoning, problem-solving, creative thinking, and communication skills
• Strong interpersonal skills to collaborate with a wide range of individuals, from fellow staff to players
• Ability to work independently, self-direct tasks, and manage multiple projects with attention to detail
• Effective time management skills to balance priorities in a fast-paced environment
• Flexibility to work evenings, weekends, and holidays as required by the baseball calendar
• Proficiency in Microsoft Office is required. Prior experience with baseball video charting and baseball-related data and video capture systems (such as Hawkeye, Trackman, high-speed cameras) is beneficial. Knowledge of baseball rules, scoring, and pitch identification is also considered an asset. Spanish proficiency is also helpful and may be required in some cases.
• Microsoft Office (especially Excel) proficiency is crucial
• Knowledge of baseball rules and regulations is also a strong asset
• Spanish proficiency will be beneficial (required in some cases).
• Proficiency with data management and analysis tools like SQL, R, Python is considered an asset.
• Candidates with excellent knowledge of baseball rules and strategy and strong time management and organizational skills will excel here. Proficiency in video editing software and tools like R, Shiny, is considered an asset.
• In addition to the technological background mentioned above, experience with advanced modelling techniques or other specialized skills (Computer Vision, AI, Bayesian Modeling, Anomaly Detection, Time Series etc.) is considered an asset.
• Experience with software engineering and web development is important, and examples of relevant work can be helpful in demonstrating your capabilities
• Experience with data engineering and database management is important, and examples of relevant work can be helpful in demonstrating your capabilities
• Experience working with large spatial, biomechanical, or performance science datasets is considered an asset. Experience collecting or processing motion capture, force plate, wearable sensor, or other athlete performance data is also beneficial. Familiarity with advanced baseball analytics, machine learning, or statistical modeling techniques is considered an asset. Enrollment in or completion of a degree in Kinesiology, Engineering, Physics, Computer Science, Data Science, or a related field is preferred.

Skills

Required

• Microsoft Office
• Excel
• Software engineering
• Web development
• Data engineering
• Database management

Preferred

• Baseball video charting
• Spanish proficiency
• SQL
• R
• Python
• Video editing software
• Shiny
• Advanced baseball analytics

Benefits

• Salary: The anticipated base compensation for any roles located in Canada would be $24.00 per hour.