DraftKings
We're Hiring!
Offices at DraftKings
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
Global Office Locations
London, GB
Across Data Science and Enterprise Commercial, our teams in London wield complex data sets and modeling to deliver critical information to our Sportsbook Platform.
Recently posted jobs
As a Machine Learning Engineer, you will integrate statistical and machine learning models into production applications, write production quality code, utilize MLOps platform, create automatic tests, collaborate with stakeholders, and ensure models are well integrated in the business context.
The Senior Data Science Engineer at DraftKings will be responsible for creating statistical and machine learning models, enhancing American Football models, writing production quality code, utilizing MLOps platform, and collaborating with cross-functional teams to develop and deploy projects. The role also involves coaching and supporting junior data scientists.
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
