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
#LI_SM1
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.
Top Skills
What We Do
It's simple, at DraftKings, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. We’re developing the most innovative and entertaining real money products and offers; to forever transform how people experience sports; to be a fully vertically integrated sports betting operator. It's our ultimate goal to build the best, most trusted, and most customer-centric destination for our players.
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.
Why Work With Us
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. Ready to own what’s next?
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
