Strong analytical skills and data interpretation skills;
Work experience with Python for DS (Pandas, NumPy, bs4, Selenium, Sklearn, SciPy, Keras);
Work experience with raw data, understanding of cleaning criteria, data mining;
Practical experience and understanding of different machine learning algorithms (linear and logistic regressions, neural networks);
Good understanding of what’s “under cavet” of statistical methods;
Knowledge of statistics, probability theory and basic mathematics;
Understanding of accuracy, interpret and further use of model results.
Education in mathematics, statistics, computer science field or related technical disciplines;
Experience in development of working models for predicting the results of sports disciplines (football, basketball, csgo, dota2, fortnite etc);
Ability to work with databases: MongoDB, PostgreSQL;
Knowledge of Golang programming language.
A high level of financial compensation
A + class office with a dedicated underground parking space
Relocation program
Park area outside the window
Medical insurance
Flexible schedule, the possibility of remote work (starting from 9 to 11, 8 h / day);
24 vacation days and paid sick leave
Corporate medical assistance
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 on a birthday, and much more
L & D Center with educational and lecturing materials
Working in a team of high-class professionals
Rotation program within projects
Stable remuneration in foreign currency
Development of eco-initiatives that contribute to a favorable environment, positively affecting the world.
Data parsing, processing and preliminary analysis (Python);
Building predictive models both based on statistics and on machine learning algorithms;
Implementing mathematical models (Golang) and their further support in production;
Improving quality of the existing models.
Construction of algorithms for predicting the results of sports events (Python) and their implementation in a mat model in Golang.