Вакансия Team Leader Data Scientist

1 вакансия
Специализация: Data Science
Уровень: Team Lead
Опыт: 2 года
Уровень английского: Не важно
Город: Минск
Режим работы: Полный день
Размер команды: 3—5
Размер компании: 2200
Возможна удалённая работа: Да


  • Lead the Bank’s transformation and implementation of data driven approach.
  • Define the direction, structure, processes and standards for Data Sciences across the Bank.


  • apply data science & analytics to real business problems (customer clustering, LTV forecast, Next- product-to-buy recommender);
  • solve key technical challenges in understanding and improving the quality of Bank’s predictive analytics.
  • help the organization understand the principles and the math behind the process to drive organizational buy-in
  • manage, supervise, and ensure maximum utilization of a team of researchers and data science engineers;
  • establish short/long term objectives and assessing process;
  • work across various departments to develop strategic data acquisition and development in support of greater understanding of Bank’s clients.

Requirements and skills:

  • undergraduate degree in a quantitative field (e.g Math, Economics, Physics, Statistics, Computer Science, Engineering, etc.). Masters degree or Ph.D. is a plus.
  • strong analytical, mathematical and statistical skills;
  • experience applying a variety of Machine Learning techniques (Logistic Regression, Random Forests, SVMs, GBTs, NLP, Neural Networks, clustering methods, recommendation engines, etc.);
  • ability to conduct experiments with data of variable size, visualize and communicate results;
  • strong presentation skills with ability to take very technical concepts and translate to business value to various audiences
  • superior knowledge of data structures, algorithms and SQL;
  • expertise in Python programming language and key packages for Data Science (pandas, numpy, scikit-learn, keras, tensorflow, xgboost…).

Knowledge of R is a plus.

We offer:

  • professional growth and experience exchange with other international consortium "Alfa Group" members, paid training and attendance of specialized conferences;
  • market wage rates (salary + bonus);
  • remote work possibility and coworking space;
  • extended social package: medical insurance, bonus card, partial compensation for sports and recreational activities, partner loyalty program, financial assistance for significant events, corporate libraries.
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