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2 дня назад

Data Scientist (Fintech)

100 000 - 120 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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 predictive credit and fraud risk models, policy simulators, pricing solutions, and customer analytics for a buy now pay later product with an accent on statistical modeling, machine learning, and large-scale data analysis. Focus on validating model performance, optimizing risk decisioning, and collaborating with risk, marketing, product, and engineering teams.

Location: San Francisco, California; hybrid office attendance required on Wednesdays and Thursdays

Salary: USD $100,000–$120,000 annually, plus equity and benefits

Company

hirify.global develops financial products, including the Flex Pay buy now pay later service.

What you will do

  • Build and maintain credit and fraud policy simulators to validate system behavior and improve risk decisioning.
  • Develop and deploy statistical models and machine learning algorithms for credit risk, fraud detection, pricing, customer segmentation, and marketing attribution.
  • Validate models and identify factors that affect their performance.
  • Analyze structured and unstructured datasets using SQL, Python, and related tools.
  • Research data science and fintech technologies and collaborate with risk, marketing, product, and engineering teams on data-driven strategies.

Requirements

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
  • At least 2 years of hands-on experience in data science or analytics, preferably in financial services.
  • Strong proficiency in Python, including Pandas, NumPy, and scikit-learn, and in SQL.
  • Experience or strong interest in machine learning techniques such as Random Forest and Gradient Boosted Trees.
  • Ability to document work and present analysis to technical and business audiences.
  • Ability to work from the San Francisco office on Wednesdays and Thursdays in a hybrid arrangement.

Nice to have

  • Experience with Tableau or Power BI.
  • Experience with AI tools such as Claude.
  • Experience with PySpark or similar data technologies.
  • Understanding of credit scoring, portfolio risk, or customer lifetime value.

Culture & Benefits

  • Stock option plan and competitive compensation.
  • Medical, dental, and vision insurance coverage.
  • 401(k) and RRSP programs.
  • Flexible paid time off and paid parental leave.
  • Professional growth opportunities and health and wellness initiatives.

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