Назад
Company hidden
3 дня назад

Senior Data Scientist (Fraud Risk Detection)

92 562 - 160 440$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Scientist (Fraud Risk Detection): Building and evaluating machine learning models and features that identify fraud across account opening, account takeover, and identity risk with an accent on feature engineering, model evaluation, and production deployment. Focus on investigating attack patterns, optimizing precision, recall, fraud capture, and customer friction, and implementing explainable and governed solutions.

Location: Remote within the United States

Salary: $92,562–$160,440 annually, plus variable pay opportunity

Company

hirify.global is a global data and technology company serving financial services, healthcare, automotive, insurance, agribusiness, and other markets across 32 countries.

What you will do

  • Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals.
  • Translate fraud questions into testable hypotheses and investigate account opening, account takeover, and identity risk.
  • Build, train, validate, and evaluate machine learning models and features using technical and business metrics.
  • Develop features from identity, transactional, behavioral, and other data sources.
  • Write clean, well-tested code and collaborate with engineering to deploy models and features to production.
  • Support model and feature monitoring, client-focused research, analysis, and communication with technical and nontechnical audiences while following privacy, documentation, explainability, validation, and governance standards.

Requirements

  • 3+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field.
  • Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline.
  • Foundation in supervised learning, model evaluation, feature selection, statistical inference, classification, and anomaly detection.
  • Proficiency in Python, including clean, readable, and well-tested code.
  • Familiarity with pandas, NumPy, and scikit-learn.
  • Investigative mindset and ability to turn unusual data patterns into testable hypotheses.
  • Familiarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, Snowflake, or other large-scale data tools.
  • Exposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry through coursework, internship, or prior work.

Culture & Benefits

  • Remote role with a flexible work environment; remote, hybrid, and in-office arrangements are supported.
  • Medical, dental, vision, and matching 401(k) benefits.
  • Flexible time off, including volunteer time off, vacation, sick leave, and 12 paid holidays.
  • Compensation package and bonus plan.
  • Inclusive, purpose-driven, people-first culture.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →