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2 дня назад

Data Scientist (Fintech)

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

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TL;DR
Data Scientist (Fintech): Building and deploying machine learning models for payment optimization with an accent on conversion improvement, decline reduction, fraud detection, and real-time payment flows. Focus on designing experimentation frameworks, optimizing features and hyperparameters, and validating model impact across merchants and payment providers.

Location: Hybrid in San Francisco or New York, US; remote work from anywhere is also listed as a benefit.

Company

hirify.global is a rapidly growing fintech startup building a global payments and next-generation commerce platform for merchants across LATAM.

What you will do

  • Own the end-to-end modeling lifecycle for payment optimization, including transaction analysis, strategy definition, feature generation, model training, tuning, and deployment.
  • Build an experimentation framework to measure model performance from early signals through month-over-month results.
  • Develop models that improve conversion, reduce payment declines, and detect fraud in real-time payment flows.
  • Collaborate with project leads, data engineering, BI, systems, and infrastructure teams on customer-facing AI and modeling solutions.
  • Guide data processing pipeline development and use rapid model iteration to address merchant data and business goals.

Requirements

  • 5+ years of experience applying machine learning to real production problems, ideally in payments, fintech, fraud, or other high-volume transactional environments.
  • Ability to define required data, select modeling approaches, and establish how model effectiveness will be validated.
  • Hands-on experience with feature generation, model selection, training, and hyperparameter optimization.
  • Experience designing and running experiments, including A/B testing and experimentation platforms.
  • Proficiency in Python and SQL, with the ability to query large datasets using tools such as Snowflake.
  • Familiarity with TensorFlow, Airflow, model management, and model rollout practices.
  • Ability to guide technical infrastructure teams in implementing efficient data science and ML training pipelines and systems.
  • Self-directed working style and clear communication with technical and non-technical audiences, including leadership.

Nice to have

  • Payments, fintech, fraud, or high-volume transactional experience is preferred.
  • People leadership may become part of the role if aligned with the candidate’s skills.

Culture & Benefits

  • Multicultural, multidisciplinary, diverse, and dynamic team distributed throughout LATAM.
  • Startup environment focused on dynamism, agility, constant innovation, and regional impact.
  • Hybrid workplace with remote work from anywhere listed among the benefits.
  • Vacations, additional PTO, and financial support for internet and mobile service.
  • Stock options, growth opportunities, and a defined career path.

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