Job Description
- Kubernetes and Kafka experience
- MLOps principles and tools knowledge
- Understanding of Sportsbook products
- Strong Python proficiency
- Experience building sports ML models
- Solid data science & statistical modeling
- Production-quality code writing
- MLOps platform utilization
- Collaboration with cross-functional teams
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
As a Data Science Engineer, you'll utilize data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business. Our team comprises sports modeling experts and data science technologists, coming together to develop innovative Data Science products that drive measurable value across our Sportsbook platform.
What you'll do as a Data Science Engineer
Create statistical and machine learning models and integrate them into DS applications
Expand the capabilities of our sport 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
What you'll bring
Strong proficiency in Python
Experience building statistical or machine learning models for sports
Solid understanding of data science and statistical modeling principles
Experience with Kubernetes and Kafka is desirable
Knowledge of MLOps principles and related tools will be considered an asset
Familiarity with version control concepts
Understanding of object-oriented programming principles
PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field
Keen interest in sports
Understanding of Sportsbook products is desirable
#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.
