Middle Data Scientist

The Customer created the world’s first dynamic pricing engine for live entertainment events, forever changing the way sports and entertainment tickets are priced.
Twice named one of the 10 Most Innovative Companies in Sports and one of the 50 Most Innovative Companies in the World, Customerʼs pricing and revenue management solutions are used by sports teams, performing arts organizations, venues, and promoters around the world.

  • 2+ yearsʼ of work experience in Statistics, Machine Learning, or related discipline
  • Familiarity with R, SQL (LaTeX will be a plus)
  • Solid hands-on coding experience in R, Python, Java, C++, or similar preferred
  • Ability to collaborate on programming and analytical problems
  • Strong quantitative, research, and data analytic skills Strong interpersonal and communication abilities Ability to understand and apply statistical techniques, such as GLMs (logit, Poisson, hierarchical etc.), Bayesian inference, clustering analysis, principal component analysis, etc.
  • Design and test statistical techniques for a wide variety of research questions
  • Design, write, and debug software implementing statistical techniques in a collaborative team environment
  • Perform rigorous statistical analyses on unique research questions
  • Create reports using presentation and charting software to communicate the results of statistical analyses
We offer
  • Annual paid vacation of 18 working days;
  • Extra vacation days for long-lasting cooperation;
  • Annual paid illness of 10 days;
  • Maternity\Paternity leave;
  • The opportunity of sabbatical leave;
  • Marriage and Parenthood Package;
  • Compensation for sports activities (up to 6000 UAH\year);
  • 50 % cost compensation for attending courses for self-development;
  • Corporate doctor;
  • Internal education(corporate library, Udemy courses);
  • Career development plan;
  • English classes;
  • Paying taxes and conducting private entrepreneurs;
  • Technical equipment: laptop, mouse, keyboard, monitor, chair;
  • Internal Referral program;
  • Opportunity to take part in company volunteering activities;
  • Technical community events