Sr. Data Scientist at paypal 3yrs of experience

kk April 19, 2026

 Job Summary:

This job involves independent collaboration to enhance process quality and effectiveness. The individual will analyze data for informed decision-making, implement best practices, and oversee team performance. They will work outside defined processes to determine appropriate actions and solutions, ensuring operational efficiency and effectiveness in technology use.

Job Description:

Essential Responsibilities:

  • Work closely with cross-functional teams to drive business requirements and perform impact assessments.
  • Lead sessions to define payment models, transaction models, data provisioning, data modeling, and software reporting capabilities, and utilize datasets for business recommendations.
  • Partner with Data Technology teams to ensure accurate and timely data delivery.
  • Triage and drive the resolution of production issues.
  • Oversee vital business processes within existing systems to ensure uninterrupted service.
  • Highlight bugs and blockers, and coordinate with development and operations teams for resolution.
  • Develop product performance dashboards and executive dashboards.
  • Perform ad hoc data analysis and provide production support.
  • Propose future state solutions and design scalable data solutions.
  • Work with engineering and business stakeholders to ensure alignment and successful project outcomes.

Minimum Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

Core Responsibilities

  • Independent Challenge & Validation: Critically evaluate the effectiveness of fraud strategies developed by the First Line of Defense.
  • Fraud Risk Assessment: Perform deep-dive analytics on transactional, Identity data to identify emerging fraud patterns and vulnerabilities that the first line fraud may have missed.
  • Domain Knowledge: Deep understanding of fraud typologies (e.g., account takeover, payment fraud, synthetic identity) and risk management frameworks
  • Cross-Functional Consultation: Act as a subject matter expert (SME) to advise senior leadership on the technical and business value of proposed risk controls. 

Required Technical Skills

  • Programming: Advanced proficiency in Python and SQL for extracting insights from large-scale datasets.
  • Data Visualization: Skilled in using tools like Tableau, Looker, Power BI, or Python libraries (Seaborn, Plotly) to present complex findings to non-technical stakeholders


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