Position: Data analyst
Company: Cybercube
Experience required: 2y
English level: upper

Requirements: 
- 3+ years’ experience in in data management, 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 
- Highly motivated and willing to go extra mile. 
 
Would be a plus: 
- Experience in developing working models for predicting the results of sports disciplines 
- Interest in gaming 
 
Technologies’ stack: 
- Python, SQL 
 
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. 
 
Main responsibilities: 
- Build ML models for predictive analytics, audience segmentation and score rating 
- Research data problems and provide solutions for them 
- Creation of product models (behavior, retention, etc.) 
 
What we offer: 
- Regular feedback and professional growth prospects 
- Work in a young and ambitious team 
- Large office near the botanical garden / Remote for now 
- 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