careers

Data Scientist.
We are looking for a experienced Data Scientist for lifetech Data Analysis Department, to work on fraud prevention and scoring.

SQL

Python

predictive models

Big Data

CONTACT US
What kind of specialist we are looking for

As Data Scientist you will:

  • Analysis of key metrics of products, user behavior;
  • Participation in the formation of KPI for business;
  • Extraction of large amounts of data from various internal and external sources with subsequent analysis;
  • Collection and analysis of data, construction of segmentation, visualization of results in an accessible readable form;
  • Formation and testing of hypotheses, preparation of proposals for business based on research;
  • Evaluation of the effectiveness of mailings, suggestions for optimization;
  • Continuous improvement of existing predictive models and construction of new ones (churn, scoring, fraud, CLV, etc.).

What is required for work:

  • Experience with data from 2 years;
  • Knowledge of SQL at an advanced level (writing complex queries, analytical functions, etc.);
  • Knowledge of the basics of statistics, theory of probability, economics;
  • Knowledge of the most common machine learning algorithms, understanding their theoretical foundations;
  • Skills in implementing machine learning algorithms in Python;
  • Systems thinking, the ability to independently understand the features of products and user behavior;
  • Skill in visualization and visual presentation of data;
  • A sincere passion for data, a desire to dig before getting an answer to your question.
Here is what we can offer

Our conditions:

  • Remote work (at the time of Covid-19)
  • Opportunity for training and professional development (external trainings, participation in conferences)
  • Reimbursement of expenses for mobile communications and Internet
  • Providing a mobile phone
  • English courses
  • Performance bonuses
  • Payments for various life circumstances
  • Birthday gifts
  • 100% paid sick leave (according to the law)
  • Compensation for the cost of meals and travel
  • Paid vacation 29 calendar days
We are waiting for you in our team and we want you to become a part of our success together with us!
    Join our team.

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