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.

The Crown Is Yours

Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings.

As part of this role, you will be a proven leader, creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business.

What you’ll do as a Manager, Data Science Engineer

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

What you’ll bring

Ideally, you have experience as a team leader on a data science or quantitative analytics team where you were responsible for overseeing all aspects of technical projects, including development and deployment, and then monitoring of how those applications perform in production

Highly proficient in at least one programming language, ideally Python with a strong understanding of object-oriented programming principles

Experience building sports models in a previous role or as a passion project

Experience with AWS based services and infrastructure; ideally with AWS ML tools

Experience with typical DevOps flows, such as containerisation and monitoring

Experience with Kubernetes and Kafka are very desirable

Understanding of Sportsbook products will be considered an asset 

Excellent communication & organizations skills with the ability to articulate key business information quickly and effectively

PhD, Masters or Bachelor’s degree in STEM fields

Keen interest in sports 

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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.