Lead Data Science Engineer
1 month ago
We're shaping the future of sports and entertainment experiences at DraftKings. Our global team is pushing boundaries, developing cutting-edge products, and driving innovation in responsible gaming.
The Crown Is YoursAs a key member of our sports modelling team, you'll collaborate with data science technologists to create high-impact, best-in-class sports models that drive business growth.
Key responsibilities include:
- Designing and implementing data science applications in Python.
- Developing statistical and machine learning models and integrating them into data science applications.
- Contributing to the development of our MLOps pipeline.
- Data engineering of data assets to support data science application development.
- Writing production-quality code to deploy and run models in a sportsbook environment.
- Collaborating with product, developers, QAs, and delivery leads to move projects from ideation to development and deployment.
- Ensuring data flows work as expected and data science applications are well-integrated in the larger business context.
- Coaching and supporting junior data scientists within the team.
Requirements include:
- Experience as a data science expert, responsible for all aspects of data science technical projects, including development, deployment, and monitoring.
- PhD, Master's, or Bachelor's degree in STEM fields.
- High proficiency in at least one programming language, ideally Python, with a strong understanding of object-oriented programming principles.
- Understanding of different database technologies, including relational and non-relational databases.
- Experience implementing ML automation, MLOps principles, and related tools.
- AWS experience is an asset.
- Experience with typical DevOps flows, such as containerization and monitoring.
- Knowledge of web frameworks and HTTP APIs is desirable.
- Understanding of sportsbook products is an asset.
- Experience leading and coaching other data scientists.
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