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Salary
≈ $19k – $48k per year (Estimated)
Location
Hybrid (Moscow, Russia)

Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match
Rocketwork is a Russian fintech and HR-tech platform headquartered in Moscow and founded in 2020. The company provides a comprehensive ecosystem for businesses to manage freelance and self-employed workers, offering automated tools for mass payments, electronic document management, and tax compliance. Operating primarily within the Russian market, the platform integrates with accounting systems like 1C and serves as an official partner of the Federal Tax Service to facilitate seamless interactions between companies and independent contractors.

Обязанности

  • Анализировать бизнес-задачи, проверять данные и предлагать обоснованные решения.
  • Обрабатывать и анализировать данные с помощью SQL и Python.
  • Создавать аналитические, финансовые и продуктовые модели.
  • Участвовать в построении витрин и организации потоков данных.
  • Подбирать и применять ИИ-инструменты под конкретные задачи, оценивать качество результатов.
  • Доводить решения от постановки задачи до внедрения, объяснять результаты бизнесу и предлагать улучшения.

Требования

  • Уверенное владение SQL и Python для анализа и обработки данных, опыт работы с реляционными базами данных.
  • Понимание архитектуры DWH, принципов построения витрин и организации потоков данных.
  • Понимание принципов работы ИИ-моделей, их возможностей, ограничений и способов оценки качества результатов.
  • Опыт создания аналитических, финансовых или продуктовых моделей.
  • Опыт решения бизнес-задач от постановки вопроса и проверки данных до внедрения.

Будет преимуществом

  • Опыт работы с OpenAI API, Claude, Gemini, YandexGPT или другими LLM.
  • Опыт построения RAG-систем и работы с векторными БД: Qdrant, pgvector или аналогами.
  • Опыт разработки AI-агентов с использованием LangChain, LangGraph или аналогичных инструментов.
  • Опыт работы с Yandex Cloud и DataLens.
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