Shape the future of sports analytics as a Predictive Data Scientist with Maple Leaf Sports & Entertainment. Focus on developing machine learning models for player evaluation and performance optimization. Join MLSE to elevate your data science career in a vibrant sports setting.

You will design, evaluate, and maintain predictive models while extracting actionable insights from advanced tracking data. Collaborate with engineering teams to automate data workflows and translate complex outputs for key stakeholders. Key Responsibilities:

- Design and maintain predictive statistical models for sports analytics
- Extract insights from spatio-temporal tracking data
- Conduct exploratory research using advanced techniques
- Audit and refine existing predictive models for adaptability
- Partner with data engineers for seamless model deployment Requirements:
- Master's or Ph.D. in relevant quantitative fields
- Proficiency in Python and/or R for data manipulation
- Strong SQL skills for managing large datasets
- Experience with software development best practices
- Hands-on knowledge of machine learning techniques Elevate analytics through data science and contribute to the impact at MLSE.

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