As a Sports Trading Analyst, you will provide 24/7 support to clients, manage risk, analyze betting trends, and make adjustments based on news and data.

The Basketball Data Scientist will develop machine learning models for sports betting, improve model performance, and collaborate on data product development.

The Soccer Data Scientist will develop machine learning models for sports betting, improve model performance through analysis, and collaborate with engineering and product teams.

Develop and maintain Kubernetes clusters for ML workloads, optimize and scale operations, enforce deployment best practices, and monitor systems.

Develop machine learning and statistical models for soccer data products, improve model performance, and collaborate with engineering and product teams.

The Product Engineer will design and optimize machine learning systems for sports data prediction, collaborating with DevOps and Data Engineering teams, while maintaining coding standards and database structures.

The Product Engineer will enhance products using machine learning, manage data pipelines, improve Python code, and lead innovative solutions.

Manage client risk and trading decisions, oversee depth chart accuracy, analyze betting trends, and research news impacts on betting markets.

Lead development of backend applications, enhance existing services, code reviews, and work with globally distributed data in a high-traffic environment.