Senior Data Science Engineer

The Sports Modeling team comprises sports modelling experts and data science technologists who develop innovative products that deliver incremental value across the Sportsbook platform. As a Senior Data Scientist on the team, the role focuses on developing models and data-driven solutions that enhance the Sportsbook experience for users. The position involves implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.

• Develop models and data-driven solutions that enhance the Sportsbook experience for users.
• 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.
• Refine data assets and ensure seamless integration into applications.

• 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 modelling techniques.
• Demonstrated passion for sports 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.
• May be required to obtain a gaming licence issued by the appropriate state agency as a condition of employment.

• Experience building statistical or machine learning models for sports.

• Hybrid working arrangement.

DraftKings is a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. It is a regulated gaming company. DraftKings is integrating AI into its present and future, using it to enhance customer experiences, streamline operations, and unlock new possibilities, and its teams are energised by innovation and emerging technology.