Data Scientist



Skills and Qualifications:

  • Working knowledge, interest and experience with machine learning techniques and algorithms (k-NN, Naive Bayes, SVM, Decision Forests, etc.) 
  • Knowledge of data science toolkits ( TPOT, R, Weka, NumPy, MatLab, etc) 
  • Experience with data visualization tools (D3.js, GGplot, etc.) 
  • Proficiency in using query languages such as SQL, Hive, Pig or Scala, BigQuery ( optionally )
  • Deep experience in working with databases: MongoDB, Cassandra, HBase
  • Mathematical and statistics skills (distributions, statistical testing, regression, etc.)
  • Ability to receive, structure and organize information
  • Ability establish and maintain collaborative relationships


  • Take part in requirements analyzes, Identify gaps and build the tools to increase the speed of analysis, Implement new features
  • Enhancing data collecting process and preprocessing flows;
  • Use modern methods in work and grow professionally
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Use modern methods in work and grow professionally
  • Data extraction, preparation, cleansing and exploration
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

We offer:

  • Competitive salary rate depending on your experience and skills.
  • Continuous professional competencies development opportunities. You can pick any workshop or courses. We will cover 50% of study expenses.
  • Very warm and friendly working environment with zero bureaucracy, democratic management style.
  • Comfortable schedule with flexible working hours and remote work options. Our developers have already tested remote work mode during their summer trip around Europe.
  • Annual paid vacations.
  • Corporate events. Be ready to have a great time with us during karaoke nights, board games, football and table tennis tournaments, winter Bukovel trips and so on.
  • Opportunities for self-realization, and career growth.
  • Challenging work tasks in the international professional environment.

Interested? Apply now!