Senior Data Scientist

About the Role

You will join 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 you will work

Join 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 Scientist, you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate, and optimize algorithms to calculate the probabilities of sporting outcomes.

What skills do you have?

• A BSc, MSc, or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning, or other STEM subject
• Expert understanding of probability and statistics fundamentals
• Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
• Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.
• Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.
• Mentoring of other team members, helping them develop their skills and deliver effectively

It is advantageous for you to have knowledge of the following:

• Sports rules and strategies
• 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

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