Position: Data Science Engineer
Category: Data Science
English level: upper
Years of experience: 5

With the help of ML solutions increased user happiness by more than 10%. Developed maintainable infrastructure for running ML experiments and analyzing AB testing results. Designed solutions for advanced analytics and modeling that guide growth of the products.
Worked as Data Scientist and Data Engineer on various problems regarding learning from data. Have hands-on experience in developing infrastructure and ecosystem for Data Science experiments. Participated in building ETL pipelines, applying ML in production environment, training and validating ML models on large data sets, AB testing, implementation of dashboards for visualization of results. Worked on the full cycle of software development including CI, CD and Monitoring. Always looking towards production solution and thinking about improvements and code quality. Mostly interested about Machine Learning part of the job. Have strong desire to implement ML solutions that increase user happiness.
Expect the company mission to be inspiring and the product unique value to be helpful to the people. Expect working on and scaling production environment of the product with the help of data. Expect interesting and complex tasks that will drive and keep you focused. The more interesting data there is, the better it is.