Senior Data Scientist (sports predictive algorithms) for Sport Stream

Senior Data Scientist (sports predictive algorithms) for Sport Stream

Full time
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We are a highly successful Company with great ambitions. We operate in a very competitive market so every day we are looking for opportunities to be better. To be faster. Even faster. Never stand aside and never be afraid to try. Having a lot of ideas we are very open to fresh ones. Equally important, we have the resources to bring these into motion.

We invite those who fired up to:

  • Work with stakeholders to identify problem zones and possible product improvements;
  • Mine and analyze data from internal and external sources;
  • Formalize problems based on data analyses;
  • Participate in the development of sports predictive algorithms (stochastic and ML);
  • Draw up tools for validation of the algorithms.

Essential professional experience:

  • Probability theory and mathematical statistics;
  • ML (supervised, unsupervised, semi-supervised learning);
  • Python (pandas, scikit-learn, numpy and others);
  • Experience working with APIs, web scraping, and SQL/no-SQL databases;
  • Technical English;
  • Knowledge sharing abilities.

Desirable skills and personal features:

  • Knowledge of betting domain;
  • Experience with .NET;
  • Experience with message broker systems such as Kafka, RabbitMQ;
  • Software development background;
  • Experience with big data technologies;
  • Experience in math algorithms modeling;
  • Degree in applied math.

We care of your:


  • Medical insurance/Sport compensation;
  • Sports club participation (football, running, basketball, or swimming clubs);
  • 100% paid sick leaves;
  • 20 working days of paid vacation.


  • Competitive salary and сonstant encouragement for your efforts and contribution;
  • Bonuses according to company’s policy;
  • Welfare (financial support in the critical situation);
  • Gifts for significant life events (marriage, childbirth).

Personal and professional growth

  • An individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops, etc.;
  • Free corporate library;
  • Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
  • A world-class team of T-shaped skilled professionals that share knowledge and support each other.

Leisure time

  • Corporate parties and events (Pub Quiz, Carquest, etc.);
  • PM Foundation activities (social responsibility events);
  • Weekly events aimed at culture, arts, soft skills development.

Our benefits


  • Medical Insurance
  • Lunch in office
  • Gym
  • PM Loyalty *optional


  • Annual Salary Review
  • Regular bonuses
  • Emergency financial aid

Talent development

  • External training compensation
  • Learning events
  • Hackathons
  • Corporate university
Talent development


  • WFH (Remote work), coworking spaces
  • Additional 2 days for family events
  • Maternity / Paternity leave
  • PM Sports Clubs
  • PM Foundation activities (volunteer program)
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