Data Scientist, Link

Stripe
Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: phdSkills: ["Communication","Cross-functional collaboration","Attention to detail","Business acumen","Driving impact"]

Use Stripe data science to optimize Link’s consumer and payments experiences by building machine learning and statistical models, running experiments, and applying causal inference. Partner closely with product and business stakeholders to identify friction in local payment methods (e.g., UPI, PIX), improve conversion, and shape consumer payment preferences. Contribute across analytics, experimentation, optimization, and production model performance to drive measurable business impact.

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Stripe
Stripe
23 hours ago

Data Scientist, Link

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Use Stripe data science to optimize Link’s consumer and payments experiences by building machine learning and statistical models, running experiments, and applying causal inference. Partner closely with product and business stakeholders to identify friction in local payment methods (e.g., UPI, PIX), improve conversion, and shape consumer payment preferences. Contribute across analytics, experimentation, optimization, and production model performance to drive measurable business impact.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work closely with a specific part of the business to optimize systems and make strategic decisions using data.
  • •Build and apply machine learning, statistical models, causal inference, optimization, and experimentation to drive impact.
  • •Analyze friction points and run analyses to improve local payment method enablement and user conversion.
  • •Deliver results by synthesizing complex analyses into clear, actionable recommendations.
  • •Manage and deliver on multiple projects with high attention to detail.

Key Requirements

  • •PhD with 3+ years, MS/MA with 6+ years, or BS/BA with 8+ years in data science or quantitative modeling.
  • •3+ years in product analytics, experimentation, and causal inference.
  • •Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.
  • •Proficiency in SQL and Python.
  • •Experience working with cross-functional teams to deliver results and communicate insights clearly into actionable recommendations.
Experience:3+ years
Education:PhD / Doctorate in Quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
Skills:CommunicationCross-functional collaborationAttention to detailBusiness acumenDriving impact
Languages:English
Tech Stack:SQLPythonMachine learningStatistical modelingCausal inferenceExperimentationOptimizationSparkHadoopAI toolsAI-walletProduct analytics

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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