Stripe

2 weeks ago

Data Scientist, Global Growth

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Partner with Global Growth teams to design and ship experiments that improve the self-serve user funnel and onboarding experience across stripe.com and the dashboard. Use machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to identify growth opportunities, quantify impact, and turn complex data into actionable recommendations for products and business decisions worldwide.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and ship experiments with Global Growth teams.
•Identify improvement opportunities across stripe.com and the dashboard.
•Analyze and optimize the self-serve user funnel to improve onboarding quality globally.
•Apply machine learning, statistical modeling, causal inference, optimization, and experimentation to drive impact.
•Synthesize complex analyses into actionable recommendations for product and business decisions.

Key Requirements

•Bachelors + 8 years, or Masters + 6 years, or PhD + 3 years of data science or quantitative modeling experience.
•Proficiency in SQL and a computing language such as Python or R.
•Experience working with cross-functional teams to deliver results.
•Ability to communicate results clearly with a focus on driving impact.
•Demonstrated ability to manage and deliver on multiple projects with attention to detail; strong business acumen and actionable recommendations.

Experience:8+ yearsData scienceQuantitative modeling

Education:Bachelor's

Skills:CommunicationCross-functional collaborationAttention to detailBusiness acumenProject management

Languages:English

Tech Stack:SQLPythonRSparkHadoop

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

2 weeks ago

Data Scientist, Global Growth

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and ship experiments with Global Growth teams.
•Identify improvement opportunities across stripe.com and the dashboard.
•Analyze and optimize the self-serve user funnel to improve onboarding quality globally.
•Apply machine learning, statistical modeling, causal inference, optimization, and experimentation to drive impact.
•Synthesize complex analyses into actionable recommendations for product and business decisions.

Key Requirements

•Bachelors + 8 years, or Masters + 6 years, or PhD + 3 years of data science or quantitative modeling experience.
•Proficiency in SQL and a computing language such as Python or R.
•Experience working with cross-functional teams to deliver results.
•Ability to communicate results clearly with a focus on driving impact.
•Demonstrated ability to manage and deliver on multiple projects with attention to detail; strong business acumen and actionable recommendations.

Experience:8+ yearsData scienceQuantitative modeling

Education:Bachelor's

Skills:CommunicationCross-functional collaborationAttention to detailBusiness acumenProject management

Languages:English

Tech Stack:SQLPythonRSparkHadoop

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