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.
Skills Required
- 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 proven track record
- Ability to bring clarity to complex domains and lead alignment conversations
- Mentoring of other team members and helping them develop skills
- Excellent spoken and written English
- Knowledge of MLOps covering model creation, deployment (GitLab, AWS, Docker) and retraining
- Knowledge of sports rules and strategies
- Knowledge of sports betting
- Experience with data engineering
- Experience with Rust, C++ or other programming languages
- Experience with real-time systems and/or high-performance computing
What the Team is Saying
Genius Sports Compensation & Benefits Highlights
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Leave & Time Off Breadth — Core time off includes annual leave plus extra days for local holidays, a Christmas-to-New-Year shutdown, World Mental Health Day, and a paid volunteering day. Structured PTO and sick leave details are also described alongside these company-wide breaks.
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Healthcare Strength — The package features medical, dental and vision coverage with mental-health support and access to local EAPs. Health coverage is positioned as a strong aspect of the overall offering.
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Flexible Benefits — A distinctive workcation allows working from anywhere for up to 30 days per year, alongside hybrid/remote options. Location-tailored discounts, office clubs, and social events add flexibility in how benefits are experienced.
Genius Sports Insights
What We Do
Genius Sports is the layer between what happens on the field and how the world engages with it. Our solutions across the global sports ecosystem are underpinned by our next generation big data and artificial intelligence platform, GeniusIQ. By ingesting and computing multiple real-time data feeds, GeniusIQ powers a wide range of functions and applications across sports performance and officiation, fan engagement, advertising, and sports betting. Founded in 2001, Genius Sports is now one of the world’s largest sports technology companies, working with the likes of the NFL, NBA, EPL, FIBA, ESPN, Sky Sports, Flutter, DraftKings and 100s more. We're headquartered in New York and London, with offices in Los Angeles, Medellin, Tallinn, Sofia, Singapore, Lausanne, Manchester and Melbourne.
Why Work With Us
We are one team, being brave, driving change. Our company values help create a cohesive culture, where we think, feel and act like One Genius. We strive to create an environment where everyone feels a sense of belonging and the ability to make a difference, driving our vision to be everywhere in sports, redefining experiences through technology.
Gallery
Genius Sports Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
