Data Scientist Offline

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.