By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. com. The Role You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models.

These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports. How will you work? Lead a specially formed, highly skilled team delivering an innovative intelligent product!

Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams. We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain. If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous performance focused approach that supports success, delivery quality, then this is for you.

As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes. What skills do you have?

) with a proven track record of delivering solutions to complex problems.

Requirements

You lead conversations that drive alignment and uncover edge cases others might miss. ) It is advantageous for you to have knowledge of the following: Sports betting Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining Data engineering Rust, C++, other programming languages Real-time systems and/or high-performance computing Software System Design Software Development Lifecycle (SDLC) What we expect from our co-workers Curiosity and strong desire to learn and improve Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. Time management and asynchronous communication skills relevant for a geographically diverse engineering organization Enthusiasm and ability to work collaboratively within a team Excellent spoken and written English Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together.

Our hybrid working models differ depending on your role and location. Occasional travel may be required.

Benefits

, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.