Lead Data / Rating Engineer

The product addresses monetization challenges for creators and navigation issues in information overload. It has launched ratings for movies, TV shows, and books, and aims to scale these into a production system using algorithms, data, process automation, and AI agents under CEO and CTO guidance.

• Strong mathematical foundation in statistics, probability theory, graph theory, and ranking/scoring algorithms.
• Preferred background from MSU, MIPT, HSE, SPbSU, ITMO, Bauman MSTU, or equivalent rigorous academic preparation.
• Experience with databases, data architecture design, and proficiency in Python and SQL.
• Proven ability to translate product requirements into mathematical models and production-ready code independently.
• Understanding that AI is a practical tool for data processing and automation.
• Willingness to learn and master AI agents and LLM integration tools under CTO mentorship.

• Develop, refine, and calibrate rating algorithms, methodologies, and donate-weight normalization.
• Build ratings across multiple dimensions: global, regional, and niche professional segments.
• Organize and automate data collection from external sources.
• Design integrations to enrich rating databases.
• Translate product tasks into development, from requirements to algorithms, data pipelines, and automation.
• Implement and coordinate AI agents for data labeling, classification, and routine process automation.

Candidates must be based in Europe or CIS countries excluding Russia and Belarus.