Job Summary
As PayPal continues its mission to revolutionize commerce, we are seeking a talented Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will drive profitable growth across our product portfolio by turning complex data into actionable insights that shape strategic decisions and deliver meaningful value to consumers worldwide.
Essential 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.
- Stay updated with the latest trends in data science.
Minimum Qualifications
- 3+ years relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
Day to Day Responsibilities
- Lead advanced deep-dive analyses that go beyond surface-level reporting to produce crystal-clear narratives on the data science questions that matter most to the business.
- Apply sophisticated quantitative methods—including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching—to answer complex business questions with statistical rigor.
- Build and own robust customer segmentation frameworks that reveal behaviorally distinct consumer cohorts, and translate those insights into concrete, segment-specific growth strategies.
- Analyze how consumer behavior evolves across PayPal’s full product ecosystem, quantifying the impact of cross-product attachment on engagement, retention, and monetization.
- Monitor key consumer funnel metrics—activation, engagement, retention, and monetization—across products, segments, and geographies, and explain drivers of change with speed and precision.
- Proactively surface new growth and optimization opportunities through analytics and financial modelling, developing rigorous business cases that quantify opportunity size and expected impact.
- Manage analytical projects end-to-end, from inception through delivery, ensuring quality, timeliness, and relevance to business objectives.
- Partner closely with Commercial, Product, Marketing, and Finance teams to inform and influence strategy, serving as a trusted analytical advisor to senior stakeholders.
- Leverage AI-native tools such as Claude and Claude Code to accelerate analysis, automate recurring workflows, and scale insight delivery across the consumer growth domain.
Required Skills and Experience
- Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
- 5+ years of experience in data science, analytics, or a closely related quantitative role, including hands‑on experience analyzing large, multi-dimensional datasets.
- Fluency in SQL and Python; experience with statistical modelling, ML frameworks, and large‑scale data processing.
- Demonstrated experience applying advanced data science methods, including 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 managing relationships with senior business leaders and presenting analytical findings with confidence.
- Proficiency in visualization and reporting tools such as Tableau or Looker; ability to produce executive-ready PowerPoint presentations.
- Strong written and verbal communication skills to influence cross‑functional teams.
- Ability to work proactively and independently in a fast‑paced environment, managing competing priorities.
Desired Characteristics
- Comfort operating in ambiguous, complex problem spaces—defining structure where none exists.
- Intellectual curiosity and the drive to go beyond the question asked to surface the most important insight.
- A track record of translating rigorous analytical work into measurable business outcomes.
- AI-native working practices—comfortable using large‑language models and agentic tools to accelerate workflows and build scalable solutions.
- Proactive communication and the confidence to present recommendations clearly to senior leaders.
Benefits
At PayPal, we are committed to building an equitable and inclusive global economy. We offer comprehensive, choice‑based programs to support all aspects of personal well‑being—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
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