As a Data Science Engineer, you'll develop sports models using data and machine learning, writing production-quality code and collaborating with 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
What you'll bring
#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.
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.
Top Skills
Kafka
Kubernetes
Mlops
Python
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