PayPal

1 month ago

Staff Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior data science role focused on driving growth for PayPal’s consumer product portfolio through advanced analytics, modelling, segmentation, and stakeholder collaboration. Lead projects, mentor juniors, implement ML and causal methods, and deliver actionable insights to inform product, commercial, and investment decisions across geographies.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead deep-dive analyses to uncover drivers of business performance, diagnose trends, and identify growth opportunities.
•Apply quantitative methods including ML, causal inference, synthetic controls, difference-in-differences, and propensity score matching to answer complex business questions with statistical rigor.
•Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts and inform growth strategies.
•Monitor consumer funnel metrics across products, segments, and geographies, identifying trends, risks, and opportunities.
•Mentor and guide junior data scientists, fostering a culture of learning and continuous improvement.

Key Requirements

•5+ years of experience in data science or an equivalent combination of education and experience.
•Advanced expertise in SQL and Python, with experience analyzing large multi-dimensional datasets and building scalable analytical solutions.
•Experience applying advanced analytical methods (machine learning, causal inference, synthetic controls, difference-in-differences, propensity score matching) in a business context.
•Strong ability to translate analytical findings into clear recommendations that influence product strategy and investments.
•Experience mentoring junior team members and contributing to the development of analytical best practices.

Experience:5+ yearsPaymentsFintech

Education:Bachelor's

Skills:CommunicationLeadershipStakeholder managementMentoringProblem-solving

Tech Stack:SQLPythonTableauLookerLLMClaudeChatGPT

Company Brief

PayPal

Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1998

Website LinkedIn

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PayPal

1 month ago

Staff Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead deep-dive analyses to uncover drivers of business performance, diagnose trends, and identify growth opportunities.
•Apply quantitative methods including ML, causal inference, synthetic controls, difference-in-differences, and propensity score matching to answer complex business questions with statistical rigor.
•Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts and inform growth strategies.
•Monitor consumer funnel metrics across products, segments, and geographies, identifying trends, risks, and opportunities.
•Mentor and guide junior data scientists, fostering a culture of learning and continuous improvement.

Key Requirements

•5+ years of experience in data science or an equivalent combination of education and experience.
•Advanced expertise in SQL and Python, with experience analyzing large multi-dimensional datasets and building scalable analytical solutions.
•Experience applying advanced analytical methods (machine learning, causal inference, synthetic controls, difference-in-differences, propensity score matching) in a business context.
•Strong ability to translate analytical findings into clear recommendations that influence product strategy and investments.
•Experience mentoring junior team members and contributing to the development of analytical best practices.

Experience:5+ yearsPaymentsFintech

Education:Bachelor's

Skills:CommunicationLeadershipStakeholder managementMentoringProblem-solving

Tech Stack:SQLPythonTableauLookerLLMClaudeChatGPT

Company Brief

PayPal

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1998

Website LinkedIn