Position: Data Scientist
Company: G5 Entertainment
Experience required: 1y
English level: intermediate

**What you’ll do:**
- Generate product hypotheses, optimization assumptions, and model efficiency improvements;
- Translate business tasks into machine learning terminology;
- Analyze data, search for insights, and generate traits;
- Prepare data and initial descriptive analysis (EDA);
- Create, describe, and validate ML solutions;
- Organize and evaluate A/B tests;
- Create training materials, maintain documentation;
- Consult colleagues on the application of ML/DL algorithms in solving their problems;
- Cooperate with the Data Engineers department to output models in Production.

**Our requirements:**
- University degree in physics and mathematics/technology/economics;
- Knowledge of mathematical statistics, linear algebra, mathematical analysis, Machine Learning algorithms;
- Knowledge and practical experience in using Python to work with data and build ML models;
- Experience in creating models (classification, regression, and clustering) using ML/DL approaches and tools;
- Experience with recommender systems;
- Experience with machine learning models throughout the cycle, including development, validation, and output to Production;
- Understanding of model quality metrics and their applications;
- Experience in effect analysis (A/B tests);
- Interpretation and visualization of the performance results of the obtained models;
- Experience with Docker and Git Bash;
- As a plus — basic knowledge of Cloud services (S3, IAM, EC2, Fargate);
- English level from Intermediate. 

**What we offer:**
- Work for a Swedish company with a portfolio of over 20 global free-to-play (F2P) projects that have been translated in 15 languages;
- Participate in the full product development cycle;
- Grow your career with an international company;
- Official/contract employment;
- Flexible working schedule;
- Comprehensive, company-subsidized medical insurance;
- Educational programs in English with highly qualified instructors;
- Relocation program to help you organize your move and keep costs down;
- Earn bonuses from project revenue for the teams you're involved in;
- Performance share program for key employees;
- R&D Project Development: opportunities for creating your own project within the framework of the company;
- Paid conferences, trainings, and workshops;
- Internal training platform (educational webinars for all specializations within the company);
- Fun and educational hangouts/master classes;
- Attend our annual internal TeamUp conferences abroad;
- Participate in charity projects.