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4 дня назад

Senior Data Scientist

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Scientist (Risk/ML): Develop novel AI/machine learning models to support risk strategies in Open Banking payments platform with an accent on feature engineering, model performance measurement, and data-driven decisions. Focus on deploying models in decision engine, exploring raw data, and optimizing risk prevention rules under high-stakes financial environments.

Location: Remote from any city in Brazil

Company

Global leader in Open Banking Payments revolutionizing checkout for consumers and merchants worldwide.

What you will do

  • Develop state-of-the-art AI/ML models for risk strategies and mitigation.
  • Conduct analysis to measure model performance and influence strategy decisions.
  • Collaborate with ML Engineers to deploy models in the decision engine.
  • Perform feature research, engineering, and raw data exploration.
  • Build and maintain risk modeling infrastructure with ML Ops.
  • Create data-driven risk prevention rules and monitor performance trends.

Requirements

  • University degree in mathematics, statistics, data science or comparable field.
  • Experience with Data Science, Machine Learning, and AI model development.
  • Risk experience in financial services, fintech or similar.
  • Advanced Python and SQL skills; Spark and JavaScript nice to have.
  • Understanding of feature engineering and model lifecycle.
  • Solid English skills for communication with stakeholders.

Culture & Benefits

  • Remote-first culture with flexible hours and Home Office Allowance.
  • Bradesco health/dental plan, life insurance, meal/supermarket vouchers.
  • Wellhub for fitness, hirify.global Club discounts, English classes.
  • Extended maternity/paternity leave, birthday off, referral rewards.
  • Apple equipment (MacBook Pro, iPhone) via Welcome Kit.

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