Senior Data Scientist

Geniussports; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Employee wellbeing programs

Job summary

Genius Sports in the United Kingdom is seeking a Senior Data Scientist to join a team of data scientists developing next-generation sports models. You will build predictive models that power customer-facing products and calculate probabilities across major sports.

You will prototype, implement, evaluate, and optimize algorithms, work in a multidisciplinary Agile squad with software engineers, QA, and a product manager, and mentor other team members while delivering high-quality, scalable

Qualifications

• A BSc/MSc or PhD in Data Science, Mathematics, CS, or related STEM field.
• Strong knowledge of probability and statistics.
• Proficiency in Python or R, Matlab, etc.
• Experience delivering ML solutions to complex problems.
• Experience mentoring peers and guiding teammates.
• Excellent spoken and written English.

Responsibilities

• Develop and implement predictive models across major sporting codes.
• Prototype, implement, evaluate, and optimize algorithms to calculate probabilities.
• Collaborate in an Agile squad with engineers, QA, and product manager.
• Mentor other team members and share knowledge.

Skills

Statistics fundamentals

Python

Machine Learning

Mentoring

English communication

Problem solving

Education

BSc/MSc/PhD in Data Science or related 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 geniussports.com.

The Role

You will join a 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 a wider 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, 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 aSeniorDataScientist,you and your team will play a major role in developing and implementing predictive models across all major sporting codes.You will prototype, implement, evaluateand optimize algorithms to calculate the probabilities of sporting outcomes.

What skills do you have?

• A BSc,MScor PhD inData Science,Mathematics,Computer Science,Computational Statistics, Machine Learning orotherSTEMsubject
• Expertunderstandingof probability and statistics fundamentals
• Proficiencywith Python or other scripting/programming languages (R,Matlab, etc)
• 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.
• 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.
• Mentoringofotherteam members,helping them develop their skills and deliver effectively

It isadvantageousfor you to have knowledge of the following:

• Sports rules and strategies
• 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

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’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.

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