Job Description
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 written English
Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
