Junior Data Scientist

A BIT ABOUT US  

Do you want to join one of the world’s fastest growing sports technology companies?  

Listed on the NYSE in 2021, 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 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. 

WHAT WILL YOU BE WORKING ON? 

At Genius Sports we are looking for highly motivated individuals to join our growing data science teams. These teams will play a major role in developing and implementing predictive models for sporting events across all major sporting codes. The predictive models you create will feed all our in-house products and are critical to achieving our business goals. Our Sports modeling teams work in a multidisciplinary team combining machine learning specialists and software engineers to deliver the key product outcomes. These teams have the skill set and autonomy to solve business problems the way they see fit. 

THE ROLE 

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. 

DUTIES AND RESPONSIBILITIES 

• 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 

WHAT SKILLS DO YOU HAVE? 

• A Bachelor’s, MS or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields 
• Knowledge of CS fundamentals (data structures and algorithms) 
• Knowledge of 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.) 

ADDITIONAL DESIRABLE SKILLS 

• 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
• Proficiency with Golang or/and C++
• A passion for sports and knowledge of the rules 

WHAT WE EXPECT FROM OUR CO-WORKERS 

• Curiosity and strong desire to 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 remote-first 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. 

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.