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Principal Data Scientist (Fintech)

148 720 - 223 080$
Формат работы
onsite
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

Текст:
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TL;DR
Principal Data Scientist (ML/Fintech): Developing and optimizing decisioning and pricing engines for auto finance markets with an accent on machine learning models and large-scale data analysis. Focus on building scalable analytics solutions, driving business P&L expectations, and providing strategic guidance to executive leadership.

Location: Southfield, Michigan, United States

Salary: $148,720 - $223,080 USD

Company

hirify.global is one of the world's leading global financial institutions and a top-five bank in North America.

What you will do

  • Own end-to-end decisioning and pricing optimization engines using large-scale historical and market data.
  • Develop and implement machine learning models to uncover actionable insights and guide strategic planning.
  • Collaborate with business partners to refine strategies, analyze deal structures, and deliver P&L expectations.
  • Lead and run complex analytical projects autonomously, presenting findings to executive stakeholders.
  • Mentor and coach peer data scientists and provide technical leadership across the enterprise.
  • Translate complex business problems into viable, scalable, and sustainable data science solutions.

Requirements

  • 10+ years of relevant experience in data science or related fields.
  • Undergraduate or advanced technical degree in Math, Physics, Engineering, Finance, or Computer Science.
  • Proficiency in Python and various techniques for data extraction and preparation.
  • Strong expertise in statistical inference, data wrangling, and big data analytics.
  • Must be based in Southfield, Michigan, USA.

Culture & Benefits

  • Competitive base salary and variable incentive awards including cash and equity.
  • Comprehensive health and well-being benefits package.
  • Savings and retirement programs.
  • Paid time off including Vacation, Flex, and Holiday PTO.
  • Career development through mentoring programs and an online learning platform.

Hiring process

  • Initial outreach to candidates of interest to schedule interviews.
  • Communication of outcomes via email or phone call.

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