Middle Data Scientist (Управление моделирования партнерств и ИТ-процессов)

VTB Bank • Russian: C1 • Bachelor's Degree • Python • SQL • Matplotlib • Seaborn • 1 hour ago
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Salary
≈ $24k – $45k per year (Estimated)
Location
Remote/Hybrid (Moscow, Russia)
Seniority
Middle
Employment
Full-Time
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VTB Bank

VTB Bank is a majority state-owned, systemically important financial institution and universal banking group headquartered legally in St. Petersburg and operationally in Moscow, Russia. Founded in 1990 as Vneshtorgbank (Bank for Foreign Trade) to service foreign economic transactions, the enterprise is led by President and Chairman of the Management Board Andrey Kostin, with majority ownership held by the Russian federal government.
vtb.ru • HQ: Moscow, Russia • Government • Digital Government • Credit Cards • Financial Services • Est. 1990

Обязанности:

  • проводить анализ данных и выявлять закономерности, которые могут быть полезны для бизнеса;
  • выявление закономерностей, аномалий в технологических процессах, построение моделей для прогнозирования и оптимизации нагрузки на ресурсы;
  • интерпретация полученных результатов, интеграция разработанных решений в производственную среду;
  • готовить отчёты с результатами анализа и рекомендациями для принятия решений, презентовать их заказчику;
  • активно участвовать в проектной деятельности стрима.

Требования:

  • высшее физико-математическое или техническое образование;
  • основы линейной алгебры, методов оптимизации, теории вероятностей и математической статистики;
  • уверенное владение языком программирования Python (включая библиотеки: pandas, numpy, scipy, matplotlib, seaborn, scikit-learn);
  • опыт работы с библиотеками для работы с графами: NetworkX, PyTorch Geometric или аналогичными;
  • опыт работы с задачами NLP и временными рядами;
  • опыт работы с графами (networkx);
  • опыт работы с агентскими фреймворками (langflow);
  • опыт в разработке дэшбордов и визуализации данных (dash, streamlit);
  • опыт работы с большими объёмами данных (понимание принципов масштабирования вычислений).
  • знакомство с методами reinforcement learning для задач оптимизации.
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