Position: Data Scientist
Company: Gamingtec
Experience required: 2y
Category: Data Science
English level: intermediate
Published: 2022-02-01T00:00:00+02:00

**Required skills:**
— Strong analytical and data interpretation skills;
— Experience with Python or R;
— Data visualization;
— Experience with raw data, understanding of data cleaning criteria, data mining;
— Practical experience and a good understanding of various machine learning algorithms (log reg, linear regression, neural net, time series analysis and etc);
— Good understanding of the deep foundations 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 results of the model;
— Education in mathematics, statistics, computer science, or related technical disciplines.

**Would be a plus:**
— Experience in Databases (SQL, ClickHouse and etc).

**We offer:**
— Being a part of an international team focused on excellence in product development;
— Support from colleagues and automatization of time-consuming processes;
— High-level compensation and regular performance-based salary and career development reviews;
— Flexible working schedule;
— Opportunity to work whether in an office or fully remote;
— Pet-friendly office located in a city center;
— Unlimited vacation and sick leave policy;
— Medical insurance;
— Compensation for courses, conferences, workshops, etc.;
— Education Foundation in learning something new (professional or indeed personal interest);
— Summer corporate retreat and regular team-buildings;
— Various sports activities like football, group training, participation in marathons, etc.
— Referral program for employees;
— Free corporate English lessons.

**Responsibilities:**
— Collection, processing and preliminary analysis of data;
— Formulation and testing of statistical hypotheses, building models, both based on classical statistical methods and ML algorithms;
— Tuning and optimization, implementation, and further support in the production of mathematical models.