Our ideal candidate would have strong experience in developing novel statistical modeling techniques and applying them to solve real-world problems. The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data.

  • Develop novel statistical modeling techniques 
  • Apply these techniques to solve real-world problems 
  • Be a part of the sports analytics team 
  • Responsible for development of novel descriptive and predictive models for sports game data
  • Graduate degree (PhD preferred) with research experience in applied statistical modeling
  • Solid skills in C/C++, Python, R, or Julia
  • Ability to develop novel metrics and models on large, complex data
  • Deep understanding of statistical theory and modeling
  • Strong working knowledge of data science best practices
  • Competitive salary
  • Flexible work schedule
  • Bonus structure and employees stock options
  • Comprehensive benefits program
  • A cooperative and fun work environment
  • Freedom to work on your own projects
  • Dog friendly office
  • An endless coffee, tea and candy bar!




Sportlogiq HQ

Sportlogiq HQ 5455 Av de Gaspé, Suite 570
Montréal, QC H2T 3B3