Data Scientist, Payments

8 hours, 39 minutes ago
Full-time
Mid Level
Data Science and Analytics
Stripe

Stripe

Stripe is a global technology company that provides financial infrastructure for the internet. They offer a suite of APIs and tools for businesses to accept online and in-person payments, automate financial processes, and embed financial services in th...

Diversified Financial Services
5K-10K
Founded 2009
$8700M raised

Description

  • Partner with Local Payment Methods engineering and product teams on data-driven initiatives.
  • Analyze data to understand and grow the Local Payment Methods business.
  • Use machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to inform decisions.
  • Develop insights that shape product strategy, user interactions, and business outcomes.
  • Design, run, and analyze experiments to drive impact.
  • Synthesize complex analyses into clear, actionable recommendations.
  • Work across cross-functional teams to deliver results and influence stakeholders.
  • Manage multiple projects with strong attention to detail and business impact.

Requirements

  • PhD, MSc, or MA with 2 years of data science or quantitative modeling experience, or BS or BA with 3 years of relevant experience.
  • Proficiency in SQL and a computing language such as Python or R.
  • Experience working with cross-functional teams to deliver results.
  • Ability to communicate results clearly and drive impact.
  • Demonstrated ability to manage multiple projects with high attention to detail.
  • Strong business acumen and experience turning complex analyses into actionable recommendations.
  • Proficiency with AI tools to accelerate model development, analysis, and coding.
  • Strong knowledge and hands-on experience in one or more of: machine learning, statistics, optimization, product analytics, causal inference, and experimentation (preferred).
  • Experience deploying models in production and adjusting model thresholds to improve performance (preferred).
  • Experience with distributed tools such as Spark or Hadoop (preferred).
  • A PhD or MSc in a quantitative field such as Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, or Operations Research (preferred).

Interested in this position?

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