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DraftKings

Senior Data Science Engineer

Reposted 4 Days Ago
Hybrid
London, England
Senior level
Hybrid
London, England
Senior level
Develop sports models and integrate them into applications, manage data engineering, collaborate with teams, and coach junior data scientists.
The summary above was generated by AI
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings. 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
  • 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

What you'll bring
  • Highly proficient in at least one programming language, ideally Python
  • Experience of building statistical or machine learning models for multiple sports
  • 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
  • Self-learner who is open to learning new things
  • Familiarity with version control concepts
  • Understanding of object-oriented programming principles
  • Understanding of Sportsbook products will be considered an asset
  • Keen interest in sports
  • PhD, Masters or Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field

#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
Python

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