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.