Senior Data Science Manager

Geniussports; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Job summary

Genius Sports is seeking a Senior Data Science Manager to lead a team of data scientists building probabilistic models that power our sports products. You will guide model development, collaborate with engineers and product managers, and drive high-quality delivery across multiple sports.

You will mentor staff, apply advanced statistics and ML, and ensure scalable, robust models with real-world impact in a fast-paced, hybrid work environment.

Qualifications

• A strong academic background in data science or related STEM field.
• Proven leadership and delivery of high-impact data science solutions.

Responsibilities

• Oversee the implementation of predictive models across multiple sports.
• Lead the development of algorithms to calculate the probabilities of sporting outcomes.
• Mentor and develop team members to drive high performance.
• Collaborate with software engineers, QA and product managers to ensure delivery.

Skills

Data Science PhD

Leadership

Mentoring

Probability & Stats

ML Algorithms

Python

Edge cases

Sports knowledge

English fluency

SDLC knowledge

Education

BSc/MSc/PhD in Data Science

Tools

GitLab

AWS

Docker

Rust

C++

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,interactiveand personalized than ever before.

Learn more at geniussports.com.

The Role

You willleada team of data scientists developing the next generation of Genius Sports’ market leading sports models.These modelsact as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across awiderange of sports.

How will you work?

Leada specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QAEngineersand a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.

Weoperatein a squad model to allow focus on the business top priorities, allowing exposure across multiple products while stillmaintainingstrong ownership of your team’s domain.

If you are looking to tackle hard problems, collaborate withhigh calibreengineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.

As aSenior Data Science Manager,youwill oversee the implementation of predictive models across many sports.You willlead your team in the development ofalgorithms tocalculate theprobabilities of sporting outcomes.

What skills do you have?

• A BSc,MScor PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject

• Strong leadership skills with a proventrack recordof successful delivery of high impactsolutions to complex data science problems

• Mentoring andStaff Development

• Expert knowledge of probability and statistics

• Expertise in a broad range of data science /machine learning algorithms (Monte Carlo simulation, neuralnetworks, logistic regression, random forest, etc.) with a proventrack 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 isadvantageousfor you to have knowledge of the following:

• Sports betting

• Machine Learning Operations (MLOps) covering the fulllife cyclefrom 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 andstrong desireto 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,connectand 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’recommitted to supporting employee wellbeing and helping you grow your skills,experienceand 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 anyassistanceduring the recruiting process due to a disability.