Senior Data Science Engineer, American Football
- Create statistical and machine learning models and integrate them into data science applications.
- Collect and engineer sports data assets to assist in model development.
- Implement the sports models and pricing engines in Python.
- Create automatic tests to ensure model and pricing engine accuracy.
- Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
- Test data flows and model integration in a larger business context.
- Coach and support more junior data scientists within the team.
- A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
- Proficiency in Python, object-oriented programming concepts, and version control
- Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
- Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
- Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
- Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports
- Demonstrated passion for sports (American football preferred) and a strong understanding of relevant leagues and their dynamics
- Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies
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