DraftKings is looking to enhance its Sportsbook platform by developing and integrating advanced sports models and data-driven solutions to improve user experience and operational efficiency.
Requirements
- Proficiency in Python, with experience building statistical or machine learning models across various sports.
- Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts.
- Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles.
Responsibilities
- 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.
Other
- Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics.
- A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field.
- Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies.
- May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
