DraftKings is looking to optimize how players engage with their Online Sportsbook products over time by developing machine learning solutions that personalize user experiences and drive long-term player value.
Requirements
- Strong Python and SQL skills, with experience working on distributed data platforms like Spark.
- Proven ability to deliver production-ready ML solutions that drive measurable business outcomes.
- Hands-on experience with Databricks for orchestrating ML workflows, managing model lifecycle, and collaborating in a shared development environment.
- Experience with experiment design and analyzing A/B tests for model validation and optimization.
Responsibilities
- Lead end-to-end ML projects to improve customer retention and engagement, from ideation to production.
- Build and templatize robust ML pipelines with an emphasis on deployment, maintenance, and reusability.
- Design and maintain CI/CD pipelines using tools like MLflow, Jenkins and GitOps for automated ML workflows.
- Monitor model performance post-deployment and implement retraining and drift detection strategies.
- Mentor junior ML Engineers and contribute to team-wide best practices in ML system design and deployment.
- Collaborate with cross-functional teams to translate insights into business-impacting ML solutions.
Other
- Excellent communication and collaboration skills, with a track record of mentoring or technical leadership.
- A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
- You may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
