Senior Data Science Engineer (Sports Modeling)

TL;DR

Senior Data Science Engineer (Sports Modeling): Developing and implementing advanced statistical and machine learning models for a sports betting platform with an accent on pricing engines and data asset engineering. Focus on integrating ML models into production applications, ensuring accuracy through automated testing, and optimizing the sports modeling lifecycle.

Location: London, UK

Company

A publicly traded technology company (NASDAQ: DKNG) specializing in regulated gaming and sportsbook platforms.

What you will do

• Create statistical and machine learning models and integrate them into data science applications.
• Implement sports models and pricing engines using Python.
• Collect and engineer sports data assets to support model development.
• Develop automated tests to ensure the accuracy of models and pricing engines.
• Collaborate with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
• Coach and mentor junior data scientists within the team.

Requirements

• Degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field.
• Proficiency in Python, object-oriented programming (OOP), and version control.
• Experience with the full machine learning lifecycle, including experimentation, deployment, and monitoring.
• Familiarity with unit testing, integration testing, and CI/CD pipelines.
• Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
• Strong passion for sports and deep understanding of relevant league dynamics.

Culture & Benefits

• Innovation-centric environment that actively embraces emerging AI technologies.
• Opportunity to work for a leading, publicly traded gaming company.
• Commitment to equal opportunity and diversity in the workplace.
• Support and guidance for obtaining required state gaming licenses.