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Data Scientist (Fintech)

185 000 - 215 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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 improving machine learning models for credit risk, fraud detection, and transaction timing with an accent on end-to-end model development, production deployment, and monitoring. Focus on creating classification and prediction models, running A/B tests, combining complex data sources, and establishing data science best practices.

Location: New York City, United States (Hybrid)

Annual base salary: $185,000–$215,000, plus a 10% annual bonus opportunity.

Company

hirify.global is a financial health company building transparent financial products to help Americans manage spending, avoid unfair fees, and improve their credit.

What you will do

  • Build, test, deploy, and maintain underwriting and credit risk models.
  • Develop fraud and payments models and improve transaction timing optimization.
  • Own the full modeling lifecycle from ideation through production, A/B testing, and monitoring.
  • Establish best practices for feature development, model training, validation, testing, and performance monitoring.
  • Analyze changes in the customer base and identify opportunities for product and business improvement.
  • Collaborate with Data Science, Analytics, Product, Engineering, and Business teams while mentoring junior data scientists.

Requirements

  • 6+ years of experience in data science, including modeling and analysis.
  • Advanced degree in data science, statistics, computer science, or a related field.
  • Strong knowledge of machine learning principles, classification, prediction, validation, and hyperparameter tuning.
  • Advanced Python experience with tools such as scikit-learn, JupyterLab, pandas, matplotlib, and statsmodels.
  • Experience writing complex SQL queries, combining multiple data sources, and creating training datasets.
  • Ability to develop end-to-end data science solutions, run production A/B tests, communicate complex concepts clearly, and collaborate cross-functionally.

Culture & Benefits

  • Hybrid work environment in New York City with a collaborative, flexible startup setting.
  • Medical, dental, and vision insurance.
  • Flexible PTO and paid parental leave.
  • 401(k) plan and physical and mental wellbeing benefits.
  • Monthly reimbursement for Wi-Fi and cell phone bills.
  • Annual learning and development reimbursement.

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