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4 часа назад

Senior Data Scientist, Risk (Fintech)

185 000 - 225 000$
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
Senior Data Scientist, Risk (Fintech) (Python/SQL): Building production machine learning models and experimentation frameworks for credit risk, fraud detection, underwriting, and portfolio performance with an accent on statistical modeling, risk analytics, and scalable deployment. Focus on designing predictive models, leading A/B testing and causal inference, and translating complex data into business decisions across Product, Engineering, Risk, and Finance.

Location: Palo Alto, California, United States; hybrid work with required in-office collaboration

Salary: $185,000–$225,000 base salary per year, plus equity

Company

hirify.global is a fintech platform transforming trucking and logistics through fleet fuel management solutions for owner-operators and small fleets.

What you will do

  • Lead strategic data science initiatives that improve risk management, underwriting, fraud prevention, and portfolio performance.
  • Develop, validate, deploy, and monitor production machine learning models and pipelines.
  • Design and own A/B testing frameworks, experimentation strategies, cohort analyses, and causal inference studies.
  • Partner with Product, Engineering, Operations, Risk, and Finance to turn business requirements into scalable analytical solutions.
  • Present complex insights to technical and non-technical stakeholders, including executive leadership.
  • Mentor junior data scientists and analysts, conduct code reviews, and establish data science best practices.

Requirements

  • 5+ years of experience in data science, analytics, or a related field.
  • Proficiency in Python and SQL for data manipulation, modeling, and automation.
  • Experience building production-ready machine learning models and pipelines.
  • Strong statistical knowledge and experience with A/B testing, cohort analysis, causal inference, and experimental design.
  • Excellent communication skills, including the ability to explain complex insights clearly.
  • Experience in risk, growth or marketing, or product analytics is preferred; comfort working in a fast-paced startup environment is expected.

Culture & Benefits

  • Equity and a competitive salary package.
  • Multiple health benefit options.
  • 401(k) matching.
  • Responsible Time Off.
  • Commuter benefits, lunches, and snacks.
  • Career growth support and an annual company offsite event.

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