Senior Staff Data Scientist (Fintech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Data Scientist (Fintech Analytics): Driving data science and decision intelligence for money movement platforms with an accent on predictive insights, reliability, and risk management. Focus on building AI-powered models to optimize transaction success and solving complex reconciliation gaps.
Location: Must be based in Mountain View, California
Company
is a global financial technology platform powering prosperity for millions of customers through products like TurboTax, QuickBooks, and Credit Karma.
What you will do
- Drive data science and decision intelligence for money movement platforms including payments, banking, and lending.
- Design and build AI-powered predictive models to improve transaction success, authorization rates, and fraud loss prevention.
- Perform root-cause analysis for high-stakes issues such as payment declines, anomaly detection, and reconciliation gaps.
- Collaborate with Product, Engineering, and Risk leaders to inform platform architecture and investment prioritization.
- Establish and uphold best practices for model governance and experimentation rigor.
- Scale analytical capabilities by contributing to self-service tools and golden datasets using Databricks, Amplitude, and Tableau.
Requirements
- 8+ years of experience in data science or applied ML with a track record of owning large-scale analytical systems.
- Strong expertise in fintech, payments, or banking domains, including understanding of payment rails and settlement.
- Advanced proficiency in SQL and Python for production-grade analytics engineering.
- Experience with anomaly detection, forecasting, and causal analysis in production environments.
- Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Statistics.
Culture & Benefits
- Competitive compensation package with a strong pay-for-performance rewards approach.
- Eligibility for cash bonuses and equity rewards.
- Comprehensive corporate benefits for full-time employees.
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