As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.

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.

As a Senior Associate Delivery Manager, you will oversee the software development lifecycle, guide projects efficiently, and maintain communication between engineering and cross-functional teams. You'll manage roadmaps, prioritize backlogs, and facilitate agile ceremonies while ensuring high-quality standards and compliance with regulatory requirements.

As an Associate Director, Global Sports Content, you'll lead a team of product managers, define the product strategy, and collaborate with various departments to ensure smooth execution of sports betting content. You'll analyze market gaps and develop merchandising strategies while communicating with data scientists and traders to optimize the sportsbook operations.

The Senior Data Science Engineer will develop and integrate statistical and machine learning models into applications, engineer sports data assets, conduct testing, and support junior team members. The role involves collaborating with cross-functional teams and coaching others while focusing on creating best-in-class sports models.