Data Scientist

Stripe
Seattle
Workplace: HybridFull timeUSD 193,232 - 288,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Translating data analysis into business outcomes","Technical documentation","Mentoring"]

Design, build, and maintain APIs, services, and large-scale systems that support billions of money movement requests. Help shape the next generation of Stripe products by analyzing requirements and user feedback and translating them into technical specifications. Ensure API launches and libraries meet quality standards for compatibility and extensibility, represent the team in technical discussions, and mentor early-career engineers.

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FursaFursa
Stripe
Stripe
22 hours ago

Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design, build, and maintain APIs, services, and large-scale systems that support billions of money movement requests. Help shape the next generation of Stripe products by analyzing requirements and user feedback and translating them into technical specifications. Ensure API launches and libraries meet quality standards for compatibility and extensibility, represent the team in technical discussions, and mentor early-career engineers.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Scope, design, build, and maintain APIs, services, and large-scale systems that handle billions of money movement requests.
  • •Design the next generation of Stripe products by analyzing product requirements, user needs, and feedback into technical specifications.
  • •Review API launches and library shapes to ensure compatibility, coherent patterns, and extensibility meet quality standards.
  • •Represent the team during technical meetings and understand how systems interact across the broader company landscape.
  • •Mentor early-career engineers and construct core engineering tenets and design principles for the team’s projects.

Pay and Benefits

Salary: USD 193,232 - 288,000 annually
Equity and Bonus:Equity
Perks:401kMedicalDentalVisionWellness Stipend

Key Requirements

  • •Master’s degree (or foreign equivalent) in Statistics, Data Analytics, Engineering, or a related field, plus 5 years of related work experience in data science or quantitative modeling.
  • •Alternatively, Bachelor’s degree (or foreign equivalent) in Statistics, Data Analytics, Engineering, or a related field, plus 7 years of related experience with at least 5 years post-bachelor’s.
  • •4 years’ experience each in SQL and programming languages including Python or R.
  • •Experience developing models, tuning thresholds to drive business outcomes, and deploying models in production.
  • •Experience translating complex data analysis into actionable business outcomes and writing or contributing to product strategy, roadmap, or technical design documents; plus 3 years in designing and analyzing production experiments.
Experience:5+ years
Education:Master's in Statistics, Data Analytics, Engineering or a related field
Skills:Translating data analysis into business outcomesTechnical documentationMentoring
Languages:English
Tech Stack:SQLPythonR

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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