Top Tech Jobs & Startup Jobs in Toronto

12 Days AgoSaved
In-Office
Toronto, ON, CAN
Mid level
Mid level
Sports
Supports organizational and departmental strategy development, defines objectives and KPIs, assesses risks and opportunities, and manages implementation plans. Leads cross-functional initiatives through research, quantitative analysis, stakeholder engagement, solution design, and recommendation development. Coaches junior team members, builds team capabilities, and contributes to team culture. Requires collaboration across ticketing, marketing, partnerships, fan experience, concessions, and game day operations.
Top Skills: AI
16 Days AgoSaved
In-Office
Toronto, ON, CAN
Senior level
Senior level
Sports
Conduct baseball research and build predictive models, advanced metrics, and data-driven tools for Baseball Operations. Apply rigorous quantitative research to player evaluation, scouting, development, procurement, and in-game strategy. Collaborate with front-office staff, coaches, scouts, and Baseball Systems teams to communicate findings and integrate data into operational processes. Provide technical guidance to junior researchers while exploring innovative data sources, technologies, and research methods.
Top Skills: Bayesian ModelingBiomechanical DataComputer VisionGenerative AiLlmsPythonRRelational DatabasesSQLTime-Series Modeling
16 Days AgoSaved
In-Office
Toronto, ON, CAN
Junior
Junior
Sports
Conduct quantitative baseball research, design and test predictive models, and develop data-driven tools supporting scouting, player development, evaluation, projections, and strategy. Collaborate with Baseball Research and Systems teams to integrate information into Baseball Operations processes, communicate findings to nontechnical stakeholders, and improve data-informed decision-making.
Top Skills: PythonRRelational DatabasesSQL
29 Days AgoSaved
In-Office
Toronto, ON, CAN
Entry level
Entry level
Sports
Analyzes hitting biomechanics, performance, scouting, and health data to identify player-development opportunities. Builds models, reports, visualizations, and analytical frameworks; conducts applied research; and translates movement insights into practical recommendations for coaches, players, and decision-makers. Collaborates across performance science, baseball research, scouting, and player development to support evaluations, intervention planning, progress monitoring, and development strategies.
Top Skills: PythonRSQL
Reposted 2 Months AgoSaved
In-Office
Toronto, ON, CAN
Entry level
Entry level
Sports
Paid entry-level opportunities supporting the Toronto Blue Jays across scouting, player development, advance scouting, research and development, baseball systems, data engineering, app development, and performance science. Responsibilities may include organizing baseball data and video, operating technology, preparing reports, conducting analytics and research, developing internal applications and databases, and supporting team logistics. Candidates should demonstrate baseball knowledge, analytical and organizational ability, communication skills, and flexibility to work evenings, weekends, and holidays.
Top Skills: AIAnomaly DetectionBayesian ModelingComputer VisionDatabasesForce PlatesHawkeyeHigh-Speed CamerasMachine LearningExcelMS OfficeMotion CapturePythonRShinySQLTime Series AnalysisTrackmanVideo Editing SoftwareWearable SensorsWeb Development
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