General

Data Scientist

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. 

Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world.  

Kitman Labs’ advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 200 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey.

We're looking for an experienced analytics team player to join our Data Science team.

Elite sport is full of data - think GPS units, shots on target and, sadly, injuries! The Data Science team uses data like this to help our customers understand performance and injury risk. The team works collaboratively with our internal Sports and Performance Science teams and our customers to understand sports greatest challenges, and how/where analytics can provide insight and practical solutions.

We will expect you to:

  • Develop analytics concepts from research all the way to product in collaboration with our Engineering, Product, Sports and Performance Science teams
  • Be a key contributor to the wider organisation to make Data Science a game changer in elite sport
  • Develop our performance intelligence platform
  • Up to 2 years experience in a Data Science role
  • Strong background in statistics or machine learning
  • Experience building models and developing data and analytical pipelines to solve problems
  • Solid Python background preferred
  • Some software development experience
  • Degree/Masters in an appropriate technical discipline
  • Ability to get at the heart of a problem by talking to people and understanding their desired outcomes
  • Experience communicating complex data science concepts simply to a non-technical, diverse audience
  • A track record of high quality research is a bonus
  • Competitive salary
  • Meaningful equity
  • Fully paid health insurance
  • Gym membership
  • Kitchen with barista espresso machine and a wide variety of snacks & refreshments
  • Flexible workplace with options to work from home