Data Scientist analyzing data for informed decision-making at PayPal. Collaborating cross-functionally to enhance process quality and effectiveness in payment solutions.
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.
Requirements
3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Advanced proficiency in Python and SQL for extracting insights from large-scale datasets.
Skilled in using tools like Tableau, Looker, Power BI, or Python libraries (Seaborn, Plotly) to present complex findings to non-technical stakeholders.
Deep understanding of fraud typologies (e.g., account takeover, payment fraud, synthetic identity) and risk management frameworks.
Act as a subject matter expert (SME) to advise senior leadership on the technical and business value of proposed risk controls.
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