Senior Data Science Manager

Genius Sports Group; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Genius Sports in London is seeking a Senior Data Science Manager to oversee the implementation of predictive models across multiple sports. You will lead a team of data scientists and engineers, delivering high-impact solutions with an autonomous, performance-focused approach.

The role emphasizes advanced algorithms (Monte Carlo, neural networks, logistic regression, random forests), collaboration in a multi-disciplinary Agile squad, and a strong emphasis on delivering smart, reliable outcomes

Qualifications

• It is expected you can lead high impact data science projects.
• You will oversee predictive models across multiple sports.
• You will work in an Agile squad with engineers, QA and product management.

Responsibilities

• Oversee the implementation of predictive models across many sports.
• You will lead your team in developing algorithms to calculate probabilities of sporting outcomes.

Skills

Leadership

Mentoring

Probability & stats

ML algorithms

Python (R/ Matlab)

Domain clarity

Sports knowledge

MLOps basics

Education

BSc/MSc/PhD in Data Science or STEM

Tools

Gitlab

AWS

Docker

MLOps

Job description

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 ofpredictive models acrossmany sports.You willlead your team in the development ofalgorithms tocalculate theprobabilities 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 strongproventrack recordof successful delivery of high impactsolutions to complex data science problems
• Mentoring andStaffDevelopment
• Expertknowledgeof probability and statistics
• Expertisein a broad range ofdata science /machine learning algorithms (Monte Carlo simulation, neuralnetworks, logistic regression, random forest, etc.)withaproventrack recordof delivering solutions to complex problems.
• Proficiencywith Python or other scripting/programming languages (R,Matlab, etc)
• Abilitytobring 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 berequired.

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.