Data Scientist / Machine Learning Engineer in Rozetka

Data Scientist / Machine Learning Engineer remotely 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 in the selection of any winternet product. ROZETKA is built on microservice architecture. Internal products help improve the website, automate warehouses, post offices, delivery services, financial and operational processes. We also constantly test new technologies, follow 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 . 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 payment of wages; the opportunity to buy ua products at special prices for employees; registration of 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 Lida, HR, PO; convenient schedule; the ability to work in the office or remotely (optional). What needs to be done: analyze "raw" data, build hypotheses; do feature engineering; to investigate methods of teaching models of modern architecture; build, train, configure and deploy models for forecasting/optimization; improve existing approaches to problem solving; cooperate with other team members. What is required for this: at least 1 year of commercial Python programming experience; commercial experience in the development and implementation of ML models for at least 1 year; fundamental understanding of machine learning; understanding the cycle of research and development; experience in engineering and data mining. It will be a plus: experience in working with large commercial data; understanding the methods of working with analytical, transactional and hybrid 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.