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Senior Data Science Engineer, Hockey

Digital sports entertainment and gaming company headquartered in Boston, creating sports and betting experiences.
$120,800 - $151,000
Data
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Gaming · Sports

Description For Senior Data Science Engineer, Hockey

DraftKings, a leading digital sports entertainment and gaming company (NASDAQ: DKNG), is seeking a Senior Data Science Engineer specializing in Hockey to join their Sports Modeling team. This role combines sports analytics expertise with advanced technical capabilities to enhance their Sportsbook platform.

The position offers an exciting opportunity to work at the intersection of sports and technology, developing innovative statistical and machine learning models that directly impact the user experience. As a senior member of the team, you'll be responsible for creating and implementing sophisticated sports models, managing data assets, and ensuring seamless integration into production systems.

The role requires a strong technical foundation in Python programming and data science principles, combined with a passionate understanding of sports, particularly hockey. You'll work with cutting-edge technologies including Kubernetes and Kafka, while collaborating across multiple teams including Trading, Product, Engineering, and QA.

This is an excellent opportunity for someone who wants to make a significant impact in the sports betting industry while working with a publicly traded company that's defining the future of sports entertainment. The position offers competitive compensation ($120,800 - $151,000) plus bonus and equity, reflecting the senior nature of the role.

Based in New York, you'll be part of a global team that values innovation and tackles challenging problems in a fast-paced environment. The role also includes mentoring responsibilities, allowing you to shape the development of junior data scientists while contributing to groundbreaking products in the sports betting space.

Last updated 4 hours ago

Responsibilities For Senior Data Science Engineer, Hockey

  • Create statistical and machine learning models and integrate them into data science applications
  • Collect and engineer sports data assets to assist in model development
  • Implement sports models and pricing engines in Python
  • Create automatic tests to ensure model and pricing engine accuracy
  • Collaborate with Trading, Product, Engineering, and QA teams
  • Test data flows and model integration
  • Coach and support more junior data scientists

Requirements For Senior Data Science Engineer, Hockey

Python
Kubernetes
Kafka
  • Demonstrated passion for sports and understanding of relevant leagues
  • College degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field
  • Proficiency in Python with experience building statistical or machine learning models
  • Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming
  • Familiarity with Kubernetes, Kafka, version control, and MLOps principles
  • Self-motivation and eagerness to expand knowledge of Sportsbook products

Benefits For Senior Data Science Engineer, Hockey

  • Bonus
  • Equity

Interested in this job?

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