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Posted 11 days ago

Data Scientist, Baseball Research

@ Toronto Blue Jays

Toronto, Ontario

On-siteFull-time4+ years experience
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Overview

Toronto Blue Jays is hiring a Data Scientist, Baseball Research, a full-time role in Baseball Operations. The work covers designing predictive models and advanced metrics, empirical research on strategy and player evaluation, and mentoring junior researchers. The posting requires 4-5+ years in data science and occasional evening, weekend and holiday hours; a base salary range of $115,000 to $130,000 is stated, plus discretionary bonuses and vacation.

Responsibilities:

  • Design and maintain advanced baseball metrics and predictive models
  • Conduct empirical research on strategy and player evaluation
  • Provide technical guidance to Baseball Research team members
  • Collaborate with front office, coaches and scouts on research

Requirements summary:

  • 4-5+ years in data science building predictive models
  • Proficiency with SQL, R, Python and relational databases
  • Demonstrated use of LLMs and generative AI in research
  • Strong communication with non-technical users
  • Passion for baseball and strong problem-solving skills

Tools & skills

Benefits mentioned

Paid time offEmployee discount
Source and dates

Employer career site / ATS feed · bamboohr

Employer posting date
2026-10-26
First seen by our source
2026-10-28
Source record updated
2026-10-28

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentData & analytics
Experience4+ years
Hours per week40 (estimated)
Scheduleevening, holidays, weekends
SeasonalYes
Work settingOffice, Client sites
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Perks mentionedGenerous paid time off, Performance bonus, Employee discount, Paid training

Summary and details written by AI from the posting; the employer’s posting is the authority.

Toronto Blue Jays

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

The official LinkedIn page of your Toronto Blue Jays.

Full company description

Visit bluejays.com for the latest news, video, scores, stats, schedule, roster, tickets, information on Rogers Centre, fan services, to shop Jays Shop, register for Inside Pitch, sign-up for Blue Jays Baseball Academy camps and clinics, connect with Jays Care and so much more. Find a listing of available jobs at http://toronto.bluejays.mlb.com/mlb/help/jobs.jsp?c_id=tor

LinkedIn followers
95,175
People associated on LinkedIn
1,584
Reported office locations
  • Toronto, CA
Business categories
  • Sports
  • Recreation
  • Baseball
Other recorded names
  • Toronto Blue Jays
Profile identifies a recruitment agency
No
Reported total investment
0

Currency and observation date were not supplied; this is not a current valuation or a funding round.

Visit bluejays.com for the latest news, video, scores, stats, schedule, roster, tickets, information on Rogers Centre, fan services, to shop Jays Shop, register for Inside Pitch, sign-up for Blue Jays Baseball Academy camps and clinics, connect with Jays Care and so much more. Find a listing of available jobs at http://toronto.bluejays.mlb.com/mlb/help/jobs.jsp?c_id=tor

FieldValue
IndustrySpectator Sports
Company size201-500 employees
Organization typePublic Company
Year founded1977
Open jobs on Jobsy10
LinkedInView page
Job description

Toronto Blue Jays are seeking a Data Scientist, Baseball Research to help drive innovative, data-informed decision-making across Baseball Operations. Combining advanced quantitative research with a deep understanding of baseball, this role will design predictive models, develop advanced metrics, and explore new data sources and technologies to solve complex baseball questions.

Primary Focus:

  • Conduct baseball research and contribute to ongoing departmental research
  • Provide leadership and support to more junior members of the Baseball Research team
  • 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
  • Challenge current technical processes, explore new data sources that could provide competitive advantages, and propose novel ways to solve data-intensive problems

Responsibilities and Duties:

  • Design, test, implement and maintain advanced baseball metrics and predictive models to contribute to strategy and decisions across all departments within Baseball Operations. Specific areas of focus could include Pro Scouting, Amateur Scouting, International Scouting, Player Development, Player Projections, or Fundamental Research
  • Conduct empirical research related to in-game strategy, player evaluation and player procurement whilst understanding how findings would apply to better decision making and increased operational effectiveness.
  • Offer technical expertise to other members of the Baseball Research Department, providing constructive feedback and guidance
  • Collaborate with the front office, including other members of the Baseball Research department, coaches, and scouts about research being done. Results of these interactions should help those within the organization better understand, consider, and apply the use of information and data to their decisions
  • Work with the Baseball Systems team to integrate new information into existing Baseball Operations processes and infrastructure

Experience and Job Requirements:

  • 4-5+ years working in the data science field, building predictive models and communicating results to non-technical users
  • 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 SQL, R, Python, relational database and/or similar statistical language
  • Demonstrated ability to use LLMs and generative AI in the research process
  • Experience with Bayesian modeling, computer vision, biomechanical data, or time-series modeling are all beneficial, but not required
  • Empathetic approach 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

Salary: The anticipated base compensation range for this role is $115,000 - $130,000. Actual base pay offered within this range may differ based on a range of factors, including individual experience, education, skills, and organizational needs.

In addition to your base compensation, you will enjoy discretionary bonus opportunities, vacation entitlements, a comprehensive benefits package, and front‑office perks that reflect the excitement and community of working in baseball.

Position Status: New

WHAT WE OFFER TO YOU

  • Commitment to our team - we want you to succeed!
  • Ongoing, hands-on training to help you develop your skills
  • Excellent employee discount to use towards Blue Jays gear
  • A unique employment experience working for the only MLB team in Canada

Blue Jays has a strong commitment to diversity, accessibility and inclusion. Everyone who applies for a job will be considered. We encourage individuals from underrepresented groups to apply and join us in shaping the future of our club. Together, we will build a team that reflects the richness of the game and the communities that we represent.

Throughout the recruitment process, we are dedicated to working with candidates who have accessibility needs to ensure they have the necessary support to perform at their best. Questions regarding accessibility throughout the recruitment process can be directed to [email protected].

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