Data Scientist

Stripe

Remote Hybrid

Quick summary

Work type
Remote
Location
South San Francisco, CACanada
Salary
$172,500–$172,500 / yr
Posted
70 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $155k
This role $172k
$89k most similar roles pay here $193k

This role pays more than 69% of similar roles. Most pay $126,800–$182,428 — the shaded band above. At the midpoint, this role pays about $172k versus about $155k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 61 open roles on FindRole.

Listed pay typically runs $172,500–$259,600 across 61 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Data Scientist

Stripe’s Data Science team seeks a mid to senior-level data scientist to collaborate with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. This role involves building machine learning models, conducting statistical analyses, and running experiments to optimize systems and drive strategic business decisions. The ideal candidate will have experience in SQL, Python or R, and a background in quantitative modeling, along with expertise in areas like machine learning, statistics, optimization, and causal inference. Proficiency with distributed tools such as Spark is preferred. This position requires strong communication skills and the ability to translate complex analyses into actionable recommendations for diverse business contexts, ensuring that data-driven insights inform product development and company strategy at scale.

What you'll do

  • Develop and deploy machine learning models to optimize product performance.
  • Analyze complex data sets to prevent fraud and ensure secure user interactions.
  • Forecast business outcomes and manage liquidity using statistical modeling techniques.
  • Design and run experiments to refine sales processes and estimate causal effects.
  • Synthesize complex analyses into actionable recommendations for strategic decision-making.
  • Collaborate with cross-functional teams to deliver results and drive business impact.

What we're looking for

  • PhD with 3 years, MS/MA with 6 years, or BS/BA with 8 years of data science experience.
  • Proficiency in SQL and Python/R for data analysis.
  • Experience working cross-functionally to deliver results.
  • Strong ability to communicate complex analyses clearly and drive impact.
  • Demonstrated skill in managing multiple projects with attention to detail.
  • Expertise in machine learning, statistics, optimization, and causal inference.
  • Proficiency with AI tools and distributed computing frameworks like Spark/Hadoop.

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