Qualifications

• Master's degree in Data Analytics, Data Science, Computer Science, or related field.
• 2+ years of experience developing models for NFL, CFB, or sports betting at production scale.
• Expertise in probability theory, machine learning, inferential statistics, Bayesian methods, and Markov Chain Monte Carlo methods.
• 5+ years of experience in delivering machine learning or statistical models within the sports or sports betting domain.
• Proficiency in SQL and Python programming.
• Experience with version control tools like GitHub and CI/CD processes.
• Familiarity with AWS environments.

Responsibilities

• Ideate and enhance machine learning models for sports betting products.
• Create feature sets using specific knowledge of sports.
• Contribute to all phases of model development, from proofs of concept to deployment.
• Continuously improve model performance through experimentation.
• Analyze model results to identify weaknesses and guide improvements.
• Adhere to best practices in software engineering and contribute to shared code repositories.
• Document modeling processes and present findings to various stakeholders.

Benefits

• Fully remote work arrangement.
• Ownership and impact on data products.
• Collaborative team environment with cross-functional partnerships.
• Opportunities for professional development in leading-edge data science practices.