Data Scientist / Machine Learning Engineer in Rozetka

The most popular online store Rozetka.ua needs a Data Scientist/ML Engineer with work experience. ROZETKA is the largest online retailer and one of the most technological e-commerce projects in Ukraine. Our mission is to be a universal assistant for choosing any product on the Internet. ROZETKA is built on a microservice architecture. Internal products help improve the website, automate the work of warehouses, post offices, delivery services, financial and operational processes. We also constantly test new technologies, monitor trends, build microservice architecture, develop DevOps practices. Come on, let's go! About the project: Commercial ML projects at Rozetka.ua are a set of products that are created to increase business efficiency and improve user experience. They are based on in-depth data analysis and forecasting of trends, allowing to optimize decision-making processes and improve interaction with clients. Such projects help to increase conversion, reduce costs and increase profits, providing a competitive advantage in the market. ML products at Rozetka.ua are usually focused on the analysis and optimization of the processing of a large number (>10^7) of objects, therefore they help to make quick decisions to form purchases, plan financial indicators and develop the assortment, create personalized offers for each user, and identify anomalies of successful ones. Project technologies: research: Python, Jupyter, PyTorch, HuggingFace; development: Python, Git; deployment: Docker, Kubernetes, Vertex AI, FastAPI; databases: BigQuery, ClickHouse. On the other hand, we offer: decent and timely salary payment; the opportunity to buy goods with special prices for employees; registration from the first working day; paid vacation - 24 calendar days a year and paid sick leave; interesting tasks that will give you the opportunity to develop and improve your potential; an adaptation period accompanied by the team lead, HR, PO; convenient schedule; the possibility of working in the office or remotely ( What you need to do: analyze "raw" data, build hypotheses; do feature engineering; research methods of learning models of the architecture; build, train, configure and deploy models for forecasting/optimization; improve existing approaches to problem solving; collaborate with external team members. What is required: at least 1 year of commercial Python programming experience; at least 1 year of commercial experience developing and implementing ML models; fundamental understanding of machine learning; understanding of the research and development cycle; engineering and data mining experience. It will be a plus: experience working with large commercial data; understanding of analytical, transactional and hybrid work methods databases. *By sending us your resume, which contains personal data, you express your consent to its processing, in accordance with the current legislation of Ukraine on personal data.