Position: Data scientist
Company: EvoPlay
Category: Data Science
Experience required: 1y
Published: 2022-02-01T00:00:00+02:00

**About the project:**
New highly loaded project for processing and analyzing user behavior;
Tasks are related to user clustering, predicting LTV, churn and customer retention models;
The ability to build a pipeline from zero, freedom of decisions and choice of technologies;
Working with tabular data. Analysis and preprocessing of user actions on the site, data storing, feature engineering, building models (decision trees, survival models, LSTM).

**Project tasks:**
Collection, processing and preliminary analysis of data;
Forming and testing of statistical hypotheses, building models, based both on classical statistical methods and ML algorithms;
Improvement of ready-made mathematical models;
Tuning and optimization, implementation and further support in production of mathematical models.

**Desirable candidate’s experience:**
Strong analytical and data interpretation skills;
Experience with Python for DS (Pandas, NumPy, bs4, Selenium, Sklearn, SciPy, Keras);
Data visualization (plotly, matplotlib, etc);
Experience in working with raw data, understanding cleanup criteria, data mining;
Practical experience and good understanding of various machine learning algorithms (logbook, linear regression, neural network, time series analysis);
Good understanding of the in-depth fundamentals of statistical methods;
Knowledge of probability theory and higher mathematics at a high level;
Understanding the accuracy, interpretability, statistical significance of the results, and further use of the model results.

**Will be a plus:**
Education in mathematics, statistics, computer science, or related technical disciplines.
Experience in working with databases: MongoDB, PostgreSQL.


**We offer:**
Modern office near the Shulyavska metro station;
High level of financial compensation and stable remuneration in currency;
Health insurance;
Relocation program;
Flexible schedule (working day starting from 9 am to 11 am, 8 hours per day);
20 vacation days and paid sick leaves;
Corporate medical assistance and corporate psychologist;
Various packages of compensation and bonuses depending on the duration of cooperation, including: gifts for anniversaries of work, compensation for a kindergarten, a day off for a birthday, and much more;
L&D center with training lectures and materials;
A team of high-class professionals;
Rotation program within projects;
Developing eco-initiatives that promote a supportive environment, positively affecting the world.