Senior Data Science Engineer, Football

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 as a Senior Data Scientist, Football

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

Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics.

A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field.

Proficiency in Python, with experience building statistical or machine learning models across various sports.

Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts.

Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles.

Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies.

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.

The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.