Senior Data Science Engineer

at  DraftKings

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

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.
We know finding a new job can be intimidating. Don’t let imposter syndrome stop you from applying! Even if you don’t think you tick off every box in this job description, we’d still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

• Create statistical and machine learning models and integrate them into DS applications
• Expand the capabilities of our American Football models with enhanced granularity
• Writing production quality code to deploy and run models in a sportsbook platform
• Utilise our MLOps platform to train and productionise ML models
• Create automatic tests to ensure model accuracy
• Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment
• Test that the data flows work as expected and that models are well integrated into the larger business context
• Coach and support more junior data scientists within the team