Senior Data Science Engineer
Job Summary
Job Description
- Python Experience
- Statistical Models
- Sports Betting
- Machine Learning
- Kubernetes
- Kafka
- MLOps Principles
- Version Control
- Global Team
- Cutting-Edge Products
3 skills required
Job Details
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 drive measurable value on the Sportsbook platform at DraftKings. We embrace a culture of curiosity and constant improvement, working collaboratively in a fast-paced environment with industry-leading technologies. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.
What you'll do as a Senior Data Science Engineer
Create statistical and machine learning models and integrate them into DS applications
Expand the capabilities of our American Football 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
Coach and support more junior data scientists within the team
What You'll bring
Highly proficient in Python
Experience of building statistical or machine learning models for sports
Solid understanding of data science and statistical modelling principles
Experience with Kubernetes and Kafka are 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.
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