Data Scientist

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.

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 Data Scientist DS3 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.

• Developing the next generation of Genius Sports’ market leading sports models.
• Calculating the probabilities of outcomes across a wide range of sports.
• Working closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
• Developing and implementing predictive models across all major sporting codes.
• Prototyping, implementing, evaluating and optimizing algorithms to calculate the probabilities of sporting outcomes.

• A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject (required)
• A strong understanding of probability and statistics fundamentals (required)
• Proficiency with Python or other scripting/programming languages (R, Matlab, etc.) (required)
• Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) (required)
• Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You contribute effectively to conversations that drive alignment and uncover edge cases others might miss. (required)
• Knowledge of Sports rules and strategies (preferred)
• Knowledge of Sports betting (preferred)
• Knowledge of Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining (preferred)
• Knowledge of Data engineering (preferred)
• Knowledge of Rust, C++, other programming languages (preferred)
• Knowledge of Real-time systems and/or high-performance computing (preferred)
• Curiosity and strong desire to learn and improve. (required)
• Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. (required)
• Time management and asynchronous communication skills relevant for a geographically diverse engineering organization. (required)
• Enthusiasm and ability to work collaboratively within a team. (required)
• Excellent spoken and written English. (required)
• Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement. (required)

• Competitive salary
• Range of benefits
• Commitment to supporting employee wellbeing
• Opportunities to grow your skills, experience and career