Data Scientist

Software Engineering / Medellín, Antioquia, Colombia

A bit about us 

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. Our mission is simple. We champion a more sustainable sports data ecosystem that benefits all parties. 

We’re looking for enthusiastic and ambitious people to join our talented team.  

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

We put trust in our people to deliver the difference for our clients around the world. 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 Role

 As a part of our Agile Development teams, you will work with cutting-edge technologies to build scalable, robust systems. Our technology joins the dots between all aspects of sports. From leagues taking control of their official data and video, to brands creating immersive fan experiences. Our teams are typically multi-disciplinary, combining skills from Data Science/Engineering, DevSecOps, Product and UX

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)? Are you a team player (not a free electron or a dictator)? Do you want to become (or already are) a polyglot in programming languages, algorithms and data structures, distributed systems, and DevOps? If you identify with this model and work area, then we invite you to apply.

Main Responsibilities & duties

  • 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
  • Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company

Required Skills & experience

  • Bachelor’s, MS or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields
  • Solid CS fundamentals (data structures and algorithms )
  • Solid probability and statistics fundamentals
  • Proficiency with Python, or other scripting languages (R, Matlab, etc)
  • Experience with common machine learning algorithms (Neural Networks, logistic regression, random forest, XGBoost, etc.)

Desirable Skills

  • Passion for sports and knowledge of the rules
  • Proficiency with Golang or/and C++
  • Strong industry experience in model development, covering the full life-cycle from creation to deployment (Gitlab, AWS, Docker)
  • Experience with real-time systems and/or high-performance computing


What’s in it for you? 

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.   

How we work 

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. It affects different teams and locations differently, so please ask for further information in how it would work with this role. 

Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organisation and continue to invest in our highly talented and diverse team of Geniuses.  

Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce bring to our business, our customers and our staff. 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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