• Lead end-to-end ML projects: task setting -> solution -> testing -> production -> support;
• Work with data engineers to create datasets and data requirements, assess feasibility, risks, and limitations;
• Participate in the design and analysis of A/B tests together with data analysts: metrics, splits, interpretation of results, recommendations for rolling out solutions;
• Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis;
• Transfer the model and code to production (Python service), support releases and integrations;
• Be responsible for model quality after launch: metrics, monitoring, drift/degradation, improvement plan, and support regulations

Requirements

• At least 4+ years as a Data Scientist;
• Experience managing end-to-end ML projects in production (from setup to support);
• Experience wit...