Stripe

1 month ago

Data Scientist, Payments

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Data Scientist partnering with Local Payment Methods engineering and product teams to understand, grow, and optimize our LPM business. Leverage data to inform strategic decisions using machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to impact Stripe's payments platform and liquidity management.

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with Local Payment Methods (LPM) engineering and product teams to understand, grow, and optimize the LPM business
•Leverage data to make strategic business decisions using ML, statistical modeling, causal inference, optimization, experimentation, and analytics
•Translate complex analyses into actionable recommendations for product, engineering, and business teams
•Design and run experiments to measure impact and calibrate models and thresholds for production use
•Communicate findings clearly and influence cross-functional decision-making

Key Requirements

•PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience
•Proficiency in SQL and a computing language such as Python or R
•Experience in working with cross-functional teams to deliver results
•Ability to communicate results clearly and a focus on driving impact
•A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

Experience:PaymentsFintechSaaS

Education:Master's

Skills:CommunicationCollaborationProblem-solvingData storytellingInfluence

Languages:English

Tech Stack:SQLPythonRAI toolsSparkHadoop

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: 4.2

Website LinkedIn Glassdoor

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Stripe

1 month ago

Data Scientist, Payments

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with Local Payment Methods (LPM) engineering and product teams to understand, grow, and optimize the LPM business
•Leverage data to make strategic business decisions using ML, statistical modeling, causal inference, optimization, experimentation, and analytics
•Translate complex analyses into actionable recommendations for product, engineering, and business teams
•Design and run experiments to measure impact and calibrate models and thresholds for production use
•Communicate findings clearly and influence cross-functional decision-making

Key Requirements

•PhD, MSc or MA with 2 years, or BS or BA with 3 years of data science or quantitative modeling experience
•Proficiency in SQL and a computing language such as Python or R
•Experience in working with cross-functional teams to deliver results
•Ability to communicate results clearly and a focus on driving impact
•A demonstrated ability to manage and deliver on multiple projects with a high attention to detail

Experience:PaymentsFintechSaaS

Education:Master's

Skills:CommunicationCollaborationProblem-solvingData storytellingInfluence

Languages:English

Tech Stack:SQLPythonRAI toolsSparkHadoop

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: 4.2

Website LinkedIn Glassdoor