Data Scientist / Data Analyst

Cybercube Business Group Ltd is an online gaming platform for fans of competitive computer game. We are entering the international market and are planning to attract more than 1 million gamers by 2021.

We are looking for a professional Data scientist/Data analyst

Requirements

— 2+ years’ experience in in data management, data analytics, quantitative analytics, or related field with proven quantitative orientation
— Experience with Python (stats & ML packages)
— Practical experience in Machine Learning, Recommender Systems and other algorithms
— Understanding of Machine Learning techniques like Linear Regression, Decision Trees, Collaborative Filtering, Anomaly Detection
— Proficiency in using database query languages such as SQL and understanding of the ETL process
— Knowledge of web analytics
— Experience with Power BI/Tableau/Google Data Studio
— Experience with marketing automation
— Highly motivated and willing to go extra mile

Technologies’ stack:
— Python, SQL, Tableau, MongoDB

Desirable skills:
— Be familiar with methods of statistical sampling;
— Be able to apply statistical methods to make predictions in real world contexts;
— Be able to process and evaluate the validity of data from publicly available sources;
— Be able to use different methods of data visualization to display data both for presentation and analysis;
— Be able to develop statistical models for forecasting real world events;
— Technical or Economics Degree.

Will be a plus

— Experience in developing working models for predicting the results of sports disciplines
— Good understanding of digital marketing, understanding of online; business, knowledge of its main specific indicators, main KPIs.
— Interest in gaming

We offer

— Regular feedback and professional growth prospects
— Work in a young and ambitious team
— Large office near the botanical garden (you can work remotely)
— Competitive salary, an opportunity for career and financial growth
— Paid vacation
— Parking space
— Tea and cookies, billiards, table tennis
— Company welcomes a healthy lifestyle, our office is equipped with a shower for cyclists

Responsibilities

— Develop analytics systems from scratch
— Build ML models for predictive analytics, audience segmentation and score rating
— Data Analysis to identify the causes of deviations in business metrics, as well as optimization of activities
— Work with product and C-levels to build a unit economic of product
— Research data problems and provide solutions for them
— Creation of product models (behavior, retention, etc.)
— Business Intelligent development (Creation of an automated reporting in Tableau)