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 Data Science team is composed of algorithm experts and data science technologists who leverage the power of data to deliver transformative experiences for our users and drive continued innovation. As a Machine Learning Engineer, you will be a creative thinker and utilize data, machine learning, and software development skills to craft high-impact solutions that transform our business.
What you'll do as a Machine Learning Engineer
- Integrate statistical and machine learning models into production applications
- Writing production quality code to deploy and run models in a sportsbook platform
- Utilise our MLOps platform to productionise ML workloads
- Create automatic tests to ensure model accuracy
- Collaborate closely with product, developers, and delivery leads to move projects from ideation to development and deployment
- Test that data flows work as expected and that models are well integrated in larger business context
What You'll bring
- Experience using Python, and its application to data science and data engineering
- Experience working in a cloud environment
- Experience with docker and running containerised services (e.g Kubernetes, Docker Compose)
- Experience of using observability tooling for production monitoring and alerting, such as DataDog, Grafana, Kibana
- An understanding of event driven messaging systems (e.g Kafka, RabbitMQ), ideally with real-world experience
- Experiencing with object-oriented programming
- Knowledge of infrastructure as code (e.g terraform) is also beneficial
- Understanding of data science and statistical modelling principles will be considered an asset
- Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, or a software engineering related field
#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.
