SENIOR DATA SCIENCE ENGINEER - TENNIS at DraftKings
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

31 Oct, 25

Salary

0.0

Posted On

31 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kubernetes, Statistics, Sports, Computer Science, Data Science, Mathematics, Kafka

Industry

Information Technology/IT

Description

ABOUT DRAFTKINGS

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.

READY TO OWN WHAT’S NEXT?

We know finding a new job can be intimidating. Don’t let imposter syndrome stop you from applying! Even if you don’t think you tick off every box in this job description, we’d still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.
JR1144

Responsibilities
  • Create statistical and machine learning models and integrate them into DS applications
  • Collect and engineer sports data assets to assist in model development
  • Implement the sports models and pricing engines in Python
  • Create automatic tests to ensure model and pricing engine accuracy
  • Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to deployment
  • Test that data flows work as expected and that models are well integrated in larger business context
  • Research the different sport’s specifications and rules
  • Coach and support more junior data scientists within the team
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