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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.
Job Responsibility
Develop and implement predictive models across all major sporting codes
Prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes
Requirements
A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
A strong understanding of probability and statistics fundamentals
Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)
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.
Nice to have
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