At a Glance
- Tasks: Develop and implement predictive models for various sports, optimising algorithms for outcome probabilities.
- Company: Genius Sports is at the forefront of sports technology, enhancing fan experiences globally.
- Benefits: Competitive salary, commitment to employee wellbeing, and opportunities for skill development.
- Other info: Experience with MLOps and real-time systems preferred.
- Why this job: Join a high-performing Agile team focused on innovative sports solutions and complex problem-solving.
- Qualifications: BSc, MSc or PhD in Data Science or related fields; proficiency in Python and machine learning algorithms required.
The predicted salary is between 50000 - 70000 £ per year.
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.
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 wider range of sports.
How will you work?
Join a specially formed, highly skilled team delivering an innovative & intelligent product! Part of a multi‑disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers, and a Product Manager, you will work closely adhering to principles of continuous delivery and empowered, high‑performing teams. We operate in a squad model to focus on the business top priorities, allowing exposure across multiple products while 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.
Responsibilities
As a Data Scientist DS3, 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 probabilities of sporting outcomes.
Required Skills
- A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
- A strong understanding of probability and statistics fundamentals
- Proficiency with Python or other scripting/programming languages (R, Matlab, etc.)
- Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)
- Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements.
Preferred Knowledge
- Sports rules and strategies
- Sports betting
- Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (GitLab, AWS, Docker) and retraining
- 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, balancing 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.
Benefits
As well as a competitive salary and range of benefits, we are committed to supporting employee wellbeing and helping you grow your skills, experience, and career.
Inclusive Work Environment
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Let us know when you apply if you need any assistance during the recruiting process due to a disability.
Global D&I Demographics
At Genius Sports we believe in better together, which means we don’t only value diversity, but we are determined to make sure that everyone here feels included and valued. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by your data.
This also means that if you choose to disclose a disability the Talent Acquisition team will not be able to identify you personally to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.
Data Scientist London, England, United Kingdom employer: Genius Sports Group
Located in London, Genius Sports fosters an inclusive work environment and values diversity. The team focuses on continuous improvement and psychological safety, ensuring all employees feel valued and can contribute meaningfully.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist London, England, United Kingdom
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We think you need these skills to ace Data Scientist London, England, United Kingdom
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Genius Sports Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Genius Sports Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Genius Sports Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Genius Sports Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
