обновлено 4 дня назад
Principal Data Scientist (Fintech)
148 720 - 223 080$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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