Job Opportunities API

    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.  Learn more at geniussports.com.     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 will you 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 w