Senior/Middle ML engineer (Classification Models)

Ipotekabank OTP Group • Russian: C1 • Bachelor's Degree • Python • SQL • Matplotlib • Power BI • Seaborn • 8 days ago
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Salary
≈ $18k – $45k per year (Estimated)
Location
In office (Tashkent)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match

Ipotekabank OTP Group

Ipoteka bank OTP Group - biznes va xususiy mijozlar uchun ishonchli bank. Mamlakat bo‘ylab shaffof shartlar va qo‘llab-quvvatlash bilan mikroqarzlar, ipoteka, avtokreditlar va debet kartalari.
ipotekabank.uz • Tashkent • Urgench • Qarshi • Bukhara • Samarkand

Обязанности

  • Разработка, деплоймент, поддержка и мониторинг классификационных, uplift и регрессионных моделей: Application Scoring, Behavioral Scoring, Income Estimation, Antifraud Scoring, Collection Scoring
  • Анализ эффективности новых источников данных с последующим их внедрением в существующие и разрабатываемые модели
  • Общение с Product Owner, выявление бизнес-потребностей
  • Коммуникация со смежными командами: Data Engineers, DevOps, Data Analysts
  • Поведенческая и клиентская аналитика

Требования

  • Уверенное владение Python и соответствующими библиотеками: catboost, xgboost, lightgbm, statsmodels, scikit-learn, optuna, FastAPI, git
  • Уверенное владение инструментами для анализа и визуализации данных: SQL, pandas, seaborn, matplotlib
  • Уверенное знание теории вероятности и статистики
  • Высшее образование в STEM (Science, Technology, Engineering, Mathematics)
  • Наличие опыта разработки классификационных моделей от 2 лет
  • Будет большим преимуществом умение работать с такими инструментами как Airflow, MLFlow, Power BI

Условия

  • Возможность решать интересные прикладные задачи с непосредственным влиянием на бизнес-результат по множеству банковских продуктов: Cash Loan, Mortgage, Car Loan, Loans for Medium and Small Enterprises
  • Условия для роста и развития:
  • работа в одной из лучших DS/ML команд Узбекистана
  • возможность участия в конференциях и командировках
  • Работа с различными доменами данных: соцдем, карточные транзакции, доходы, кредитная история, телеком, финансовая отчетность компаний и др.
  • Годовой бонус
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