xelys jobs xelys jobs

Data Scientist

Stripe

full-remoteseniorpermanentdataproduct-management United States 2 days ago via LinkedIn

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

Data ScienceMachine LearningStatisticsCausal InferenceExperimentationOptimizationSQLPythonRProduct Analytics

About the role

Role Overview

Stripe is hiring Data Scientists to partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You’ll use data, machine learning, and statistical methods to build models, data products, and insights that drive responsible business decisions.

What You’ll Do

  • Collaborate with cross-functional teams on specific business areas to optimize systems and improve strategic decisions
  • Apply techniques such as:
    • Machine Learning and statistical modeling
    • Causal inference
    • Optimization
    • Experimentation and analytics
  • Support a broad range of use cases, including:
    • Understanding user needs and preventing fraud
    • Optimizing charge flows
    • Forecasting outcomes, managing liquidity, quantifying risk exposure
    • Designing growth and go-to-market experiments and estimating causal effects

Requirements (Minimum)

  • PhD + 3 years or MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience
  • Proficiency in SQL and a computing language such as Python or R
  • Strong hands-on experience in several of:
    • Machine Learning, statistics, optimization
    • Product analytics, causal inference, experimentation
  • Experience working with cross-functional teams to deliver results
  • Ability to communicate results clearly and drive impact
  • Ability to manage and deliver multiple projects with high attention to detail
  • Solid business acumen and translating analyses into actionable recommendations

Preferred Qualifications

  • Experience deploying models in production and tuning model thresholds
  • Experience designing/running/analyzing complex experiments and/or leveraging causal inference designs
  • Experience with distributed tools such as Spark and Hadoop
  • PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Remote Work Policy

You will work remotely from home. A remote location is defined as being 35 miles (56 km) or more from a Stripe office. Stripe does not cover relocation costs.

About Stripe

Stripe is a financial infrastructure platform that helps businesses accept payments, grow revenue, and pursue new opportunities. Its mission is to increase global GDP by enabling internet-based commerce. The company operates at scale across payments, risk, security, and growth, supported by advanced data science.

Scraped 4/17/2026

xelys jobs xelys jobs

Built for remote job seekers. Powered by AI.