Senior Data Science Engineer, Sports Modelling
Role details
Job location
Tech stack
Job description
As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications., * 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.
Requirements
Do you have experience in Unit testing?, * A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another 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