Alex Staff Agency
Information Technology and Services
LeadData/RatingEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data / Rating Engineer at Alex Staff Agency. Skills: Rating algorithms, Data pipelines, Process automation, AI agents. Develop rating algorithms. Calibrate rating methodologies”
Industry & Context.
translating product requirements into mathematical models
engineers based in Europe / CIS (outside of Russia and Belarus)
What They're Looking For.
Must Have
mathematical foundation in statistics, probability theory, graph theory, ranking/scoring algorithms, systemic understanding of data architecture, databases, data architecture design, Python, SQL, translating product requirements into mathematical models, production-ready code, AI is a practical tool for data processing and automation
Nice to Have
MSU, MIPT, HSE, SPbSU, ITMO, Bauman MSTU, tools for working with AI agents, LLM integrations
What You'll Do.
Develop rating algorithms
Calibrate rating methodologies
Build ratings across multiple dimensions
Organize data collection
Automate data collection
Enrich rating databases
Translate product tasks
Full Job Description
### About the Product and Company The product is solving two fundamental problems of the modern information age: the lack of clear monetization for creators and broken navigation within the endless information noise. Core methodologies are already developed, and we have successfully launched ratings for movies, TV shows, and books. Now, we are looking for a **Rating Production Lead** to transform our existing developments into a scalable production system. In this role, it is essential to know how to work with algorithms, data, and process automation—including leveraging AI agents under the direct guidance of our CEO and CTO. ### What You Will Do * Develop, refine, and calibrate rating algorithms, methodologies, and donate-weight normalization. * Build ratings across multiple dimensions: from global and regional scales to niche, highly professional segments. * Organize and automate data collection from external sources. * Design integrations to enrich our rating databases. * Translate product tasks into development—from raw requirements to fully functioning algorithms, data pipelines, and automation. * Implement and coordinate AI agents for data labeling, classification, and routine process automation. **Requirements** \- Strong mathematical foundation in statistics, probability theory, graph theory, and ranking/scoring algorithms. \- Preferred background: MSU, MIPT, HSE, SPbSU, ITMO, Bauman MSTU, or an equivalent level of rigorous academic preparation. (The degree itself is not a dealbreaker; what truly matters to us is your systemic understanding of data architecture). \- Experience with databases, data architecture design, and proficiency in development tools like Python and SQL. \- Proven track record of independently translating product requirements into mathematical models and production-ready code. \- Clear understanding that AI is a practical tool for data processing and automation, not a magic wand. \- Readiness to learn and master tools for working with AI
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