At a Glance
- Tasks: Develop advanced sports models and data-driven solutions for an exciting Sportsbook platform.
- Company: Join a dynamic team of sports modeling experts in a leading tech company.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior team members.
- Why this job: Make a real impact on the Sportsbook experience while working with cutting-edge technology.
- Qualifications: Degree in a relevant field and proficiency in Python and data science principles.
The predicted salary is between 48000 - 72000 £ per year.
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 for American Football. 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. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.
Responsibilities
- 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.
Qualifications
- A 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 modeling techniques, preferably with experience building statistical or machine learning models for sports.
- Demonstrated passion for sports (American football preferred) 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.
Senior Data Science Engineer, American Football employer: DraftKings
DraftKings is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Boston. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while being part of a high-performing team dedicated to driving sustainable revenue growth in the exciting iGaming industry.
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We think you need these skills to ace Senior Data Science Engineer, American Football
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
