Job Description
A premier sports betting firm is seeking a Machine Learning Engineer for their Toronto office, combining remote and in-office work. Leverage your skills in sports modeling and algorithm development.
In this key role, you will be pivotal in developing predictive models and utilizing data analysis tools. Ideal candidates will excel in R and have experience with statistical methods and tools for model evaluation. Your passion for sports will contribute significantly to the development of tools that support sports analytics and decision-making.
Key Responsibilities:
• Create and improve predictive models for sports betting
• Utilize tools for model evaluation and performance measurement
• Work closely with traders to refine betting models
• Ensure integration of market dynamics into model design
• Optimize large dataset handling and coding practices
Requirements:
• Degree in a relevant field like Statistics or Computer Science
• Proficiency in R and its visual...
In this key role, you will be pivotal in developing predictive models and utilizing data analysis tools. Ideal candidates will excel in R and have experience with statistical methods and tools for model evaluation. Your passion for sports will contribute significantly to the development of tools that support sports analytics and decision-making.
Key Responsibilities:
• Create and improve predictive models for sports betting
• Utilize tools for model evaluation and performance measurement
• Work closely with traders to refine betting models
• Ensure integration of market dynamics into model design
• Optimize large dataset handling and coding practices
Requirements:
• Degree in a relevant field like Statistics or Computer Science
• Proficiency in R and its visual...