Make an impact in sports analytics at Maple Leaf Sports & Entertainment as a Data Scientist. Focus on machine learning and predictive modeling for player acquisition and performance. As a Data Scientist, you will be instrumental in designing, evaluating, and maintaining statistical models essential for player evaluations and strategic simulations at MLSE.

Leveraging your expertise in deep statistical learning, you’ll translate complex data into actionable strategies for teams. Your work will optimize decisions influencing player success and team performance. Key Responsibilities:

- Design predictive models for player evaluation
- Extract actionable insights from tracking data
- Conduct advanced exploratory research in analytics
- Systematically audit existing predictive models
- Collaborate with engineering for model deployment Requirements:
- Master’s or Ph.D. in a quantitative field
- Proficiency in machine learning and coding
- Skilled in Python and SQL for data manipulation
- Knowledge of software development best practices
- Experience with cloud infrastructure is a plus Support the future of sports analytics and contribute to MLSE’s mission.

📌 Data Scientist Role at MLSE (Toronto)
🏢 Maple Leaf Sports u0026 Entertainment
📍 Toronto