Senior Data Science Engineer, Sports Modelling

Senior Data Science Engineer to develop models and data-driven solutions that enhance the Sportsbook experience for users. Implement advanced sports models, refine data assets, and ensure seamless integration into applications.

Requirements

• College degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field
• Proficiency in Python, object-oriented programming concepts, NumPy methods, 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.
• 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

Benefits

• Publicly traded company (NASDAQ: DKNG)
• Regulated gaming company with the possibility of obtaining a gaming license
• Guide through the process of obtaining a gaming license