Senior Data Scientist Job at Genius Sports (London)

Job Description

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

Join a team of data scientists developing the next generation of Genius Sports’ market leading sports models
Prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes
Play a major role in developing and implementing predictive models across all major sporting codes
Join a specially formed, highly skilled team delivering an innovative & intelligent product
Form part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager
Work closely to the fundamental principles of continuous delivery and empowered, high-performing teams
Operate in a squad model to allow focus on the business top priorities
Collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach

Requirements

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
Mentoring of other team members, helping them develop their skills and deliver effectively
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
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

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