Manager, Data Science Engineering

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.

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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.

• Manage a squad of sports modellers as they develop, test and deploy sports models and sportsbook applications to production
• Take ownership for the design, development, maintenance and testing strategy of sports models
• Collaborate with business leads across Sportsbook and Engineering to define milestones and deliverables for new sports models or enhancements to existing models
• Contribute to the architecture and design of DS projects and strategic initiatives, with specific focus on quality, stability, and efficiency
• Mentor and lead design and knowledge transfer sessions, ensuring other engineers within data science deliver high quality work