• Python
  • SQL
This track is only available in Russian

Each Yandex service accumulates a huge amount of data. We analyze this data to improve our products and make them more user-friendly.

Our analysts heavily rely on mathematics, statistics, probability theory, as well as cutting-edge technologies, including neural networks, CatBoost, kNN search, clustering algorithms, and anomaly detection.

This track focuses on the kind of problems our Data Science specialists solve.

  1. Formulating and confirming hypotheses
  2. Conducting experiments
  3. Implementing algorithmic solutions


  • 500,000 RUBFirst place
  • 250,000 RUBSecond place
  • 200,000 RUBThird place
  • 150,000 RUBFourth place
  • 100,000 RUBFifth place


  • Qualifying
    You may compete in several categories. The best performing participants will go to the semi-finals
  • Semi-finals
    You only need to choose one track. The top 20 competitors in each will advance to the finals
  • Finals
    An in-person competition in Almaty. The winners will receive cash prizes


  • Sergey Nogtev
    Sergey Nogtev
    Head of Antifraud analytics at Yandex Go
  • Andrei Ulianov
    Andrei Ulianov
    Analyst (Crowd)
  • Anton Kolotov
    Anton Kolotov
    Data Scientist (Yandex.Lavka)
  • Ivan Lomakin
    Ivan Lomakin
    Analyst (E-commerce Antifraud Team)
  • Nadine Goltsova
    Nadine Goltsova
    Antifraud DataScience Team Lead
  • Nikolai Ponomarev
    Nikolai Ponomarev
    Real-time Antifraud Methods Team Lead
  • Ruslan Salimgareev
    Ruslan Salimgareev
    Analyst-Developer (Analytics and Research Service)

This track

is only available in Russian