Marketing Data Scientist

2 weeks ago

London, Greater London, United Kingdom Mlops Full time

Do you want to join one of the world's fastest growing sports technology companies? Genius Sports is at the epicentre of the global network connecting sports, brands and fans through official live data.

We champion a more sustainable sports data ecosystem that benefits all parties.


If you see yourself becoming part of a global family building the future of sports entertainment together, then come and grow with us.


It's why many of the world's largest leagues & federations such as the NFL, English Premier League, FIBA and NCAA choose to work with Genius Sports.

The goal of our Advanced Risk team is to challenge conventional wisdom about risk management for sports betting operators.

Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets.


Our software enables a level of flexibility and closer control, closer reminiscent of the earlier days of sports betting, before increased events and required automation removed that possibility.

At Genius Sports we are looking for highly motivated individuals to join our growing data science teams.

Our Sports modeling teams work in a multidisciplinary team combining machine learning specialists and software engineers to deliver the key product outcomes.

Are you interested in being a member of a command-style team, without hierarchies, where you are permanently listened to, teach and learn, apply cutting-edge machine learning techniques that have to respond in real-time at massive scales (1,000,000 req / s)? Do you want to become (or already are) a polyglot in programming languages, algorithms and data structures, distributed systems, and DevOps? Design, prototype, implement, evaluate and optimize machine learning algorithms to predict/estimate the outcome probabilities of sport events

Maintain best practices for software development, including deployment process, documentation and coding standards

You will have a Bachelor's, MS or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields

You will have knowledge of CS fundamentals (data structures and algorithms )

You will have proficiency with Python, or other scripting languages (R, Matlab, etc)

You will have experience with common machine learning algorithms (Neural Networks, logistic regression, random forest, XGBoost, etc.)

You will have strong industry experience in model development, covering the full life-cycle from creation to deployment (Gitlab, AWS, Docker)

You will have experience with real-time systems and/or high-performance computing

You will have proficiency with Golang or/and C++


As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location.

We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.


We have adapted a forward-thinking 'Ways of Working' framework, which sets out (amongst other things) the opportunities for Geniuses to work flexibly, remotely and on working holidays.

Genius Sports Group is proud to be an equal opportunities employer.

We welcome and will consider all applications regardless of age, different abilities or disability, gender re-assignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation ( and any other applicable status) .

Please let us know when you apply if you need any assistance during the recruiting process due to a disability.

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