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 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?   A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject   Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems   Mentoring and Staff Development   Expert knowledge of probability and statistics   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.   Proficiency with Python or other scripting/programming languages (R, Matlab, etc)   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.   Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)     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.