PayPal

1 month ago

Sr Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead advanced data science initiatives to drive profitable growth for PayPal’s Consumer Portfolio. Build and productionize models, mentor junior data scientists, collaborate with cross-functional teams, and translate complex analyses into actionable, senior-leader-ready recommendations that influence product strategy across geographies.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the development and implementation of advanced data science models.
•Collaborate with stakeholders to understand requirements.
•Drive best practices in data science.
•Ensure data quality and integrity in all processes.
•Mentor and guide junior data scientists.

Pay and Benefits

Perks:Health InsuranceTime Off

Key Requirements

•3+ years of relevant experience and a Bachelor’s degree or equivalent experience.
•Expert fluency in SQL and Python; experience with statistical modelling, ML frameworks, and large-scale data processing.
•Experience applying advanced data science methods such as machine learning, causal inference, synthetic controls, or difference-in-differences in a business context.
•Proven ability to build and deploy models in both offline research and production environments.
•Stakeholder-facing experience, including presenting analytical findings to senior leaders.

Experience:3+ yearsData scienceAnalyticsProduction ML models

Education:Bachelor's

Skills:CommunicationCollaborationLeadershipProblem-solvingPresentations

Languages:English

Tech Stack:SQLPythonTableauLookerML frameworksCausal inferenceData visualizationPowerPoint

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

Loading job details...

Preparing the role view and application actions.

PayPal

1 month ago

Sr Data Scientist

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the development and implementation of advanced data science models.
•Collaborate with stakeholders to understand requirements.
•Drive best practices in data science.
•Ensure data quality and integrity in all processes.
•Mentor and guide junior data scientists.

Pay and Benefits

Perks:Health InsuranceTime Off

Key Requirements

•3+ years of relevant experience and a Bachelor’s degree or equivalent experience.
•Expert fluency in SQL and Python; experience with statistical modelling, ML frameworks, and large-scale data processing.
•Experience applying advanced data science methods such as machine learning, causal inference, synthetic controls, or difference-in-differences in a business context.
•Proven ability to build and deploy models in both offline research and production environments.
•Stakeholder-facing experience, including presenting analytical findings to senior leaders.

Experience:3+ yearsData scienceAnalyticsProduction ML models

Education:Bachelor's

Skills:CommunicationCollaborationLeadershipProblem-solvingPresentations

Languages:English

Tech Stack:SQLPythonTableauLookerML frameworksCausal inferenceData visualizationPowerPoint

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