Senior Data Science Manager

United States Digital Space LLC; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Hybrid working model

Competitive salary and benefits

Wellbeing support and growth

Job summary

Genius Sports is seeking a Senior Data Science Manager to lead a team developing predictive models across multiple sports. You will guide algorithms that calculate the probabilities of outcomes, collaborating in an Agile squad with engineers, data scientists, QA, and a Product Manager.

Ideal candidates have advanced degrees in data science or STEM, strong leadership, mentoring, and expert knowledge of probability, statistics, and ML methods.

Qualifications

• BSc/MSc/PhD in Data Science, Mathematics, CS, Computational Statistics or STEM
• Strong leadership with delivery of high-impact data science solutions
• Mentoring and staff development
• Expert knowledge of probability and statistics
• Expertise in ML algorithms (Monte Carlo, neural nets, logistic regression, random forest)
• Python or similar (R, Matlab)
• Ability to simplify complex domains and drive alignment
• Familiarity with sports rules and strategies across major sports

Responsibilities

• Oversee implementation of predictive models across many sports
• Lead team in development of algorithms to calculate probabilities of sporting outcomes
• Collaborate in Agile squad with software engineers, data scientists, QA, and PM
• Drive continuous delivery and high-quality solutions

Skills

Leadership

Probabilistic modeling

Mentoring

Statistics

ML algorithms

Python

Edge case analysis

Sports knowledge

Education

BSc/MSc/PhD in Data Science or STEM

Tools

Gitlab

AWS

Docker

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 the company.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 ofpredictive models acrossmany sports.You willlead your team in the development ofalgorithms tocalculate theprobabilities of sporting outcomes.

What skills do you have?

• A BSc,MScor PhD inData Science,Mathematics,Computer Science,Computational Statistics, Machine Learning orotherSTEMsubject
• Strong leadership skills with a proventrack recordof successful delivery of high impactsolutionsto 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 is advantageous for 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 atReward | 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 atCulture | Genius Sports.