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 to improve the website, automate the work of warehouses, post offices, delivery services, financial and operational processes. Also, we constantly test new technologies, follow trends, build microservice architecture, develop DevOps practices. Come with us! 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 deep data analysis and trend forecasting, which allows to optimize decision-making processes and improve interaction with customers. 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 realize fast and accurate adoption solutions for forming purchases, planning financial indicators and developing the assortment, create personalized offers for each user, as well as identify anomalies in data. Project technologies: research: Python, Jupyter, PyTorch, HuggingFace; development: Python, Git; deployment: Docker, Kubernetes , Vertex AI, FastAPI; databases: BigQuery, ClickHouse. For our part, we offer: decent and timely payment of wages; the opportunity to buy ua products at 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; adaptation period accompanied by Tim Lead, HR, PO; convenient schedule; the possibility to work in the office or remotely (by choice). What you need to do: analyze "raw" data, build hypotheses; do feature engineering; research model training methods and new architectures; build, train, tune and deploy models for prediction/optimization; improve existing problem-solving approaches; collaborate with other team members. What you need: Commercial experience at least 1 year of Python programming; at least 1 year of commercial experience developing and implementing ML models; fundamental understanding of machine learning; understanding of the R&D cycle; engineering and data mining experience. Will be a plus: experience working with large commercial data; understanding of work methods with analytical, transactional and hybrid databases. By sending us your resume containing personal data, you express your consent to their processing in accordance with the current legislation of Ukraine on personal data.