{bc}
workday

Senior Data Science Engineer

DraftKings
London, GBR
Full-time
Senior
Onsite
Discovered 1 weeks ago
dockerkubernetespython

Full Job Posting

The Crown Is Yours

Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.

What You'll Do

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 the sports models and pricing engines in Python.

Create automatic tests to ensure model and pricing engine accuracy.

Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.

Test data flows and model integration in a larger business context.

Coach and support more junior data scientists within the team.

What You'll Bring

A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field

Proficiency in Python, object-oriented programming concepts, and version control

Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability

Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes

Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)

Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports

Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics

Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies

#LI-AA2

#HYBRID

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.

Qualifications

  • A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
  • Proficiency in Python, object-oriented programming concepts, and version control
  • Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
  • Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
  • Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
  • Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports
  • Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics
  • Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies
  • #HYBRID
  • 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.

Responsibilities

  • 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 the sports models and pricing engines in Python.
  • Create automatic tests to ensure model and pricing engine accuracy.
  • Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
  • Test data flows and model integration in a larger business context.
  • Coach and support more junior data scientists within the team.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at DraftKings