- Location
- London, UK, United Kingdom
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Workday
Description
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
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 . 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.
What You'll Do
- 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.
What You'll Bring
- 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 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
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Join Our Team
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.