Data Scientist

Job Summary

We are seeking a driven Staff Data Scientist to join our Consumer Portfolio Growth team. In this role, you will identify growth opportunities across our consumer product portfolio, apply advanced analytics to complex business challenges, and deliver insights that inform strategy and drive business impact.

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision‑making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross‑functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering continuous learning and improvement.

• Lead advanced deep‑dive analyses to produce clear narratives on key business questions.
• Apply sophisticated quantitative methods such as machine learning, causal inference, synthetic controls, difference‑in‑differences, and propensity score matching.
• Build and evolve customer segmentation frameworks to reveal behaviorally distinct cohorts.
• Analyze cross‑product engagement impacts on retention, monetization, and long‑term value.
• Monitor key consumer funnel metrics across products, segments, and geographies.
• Develop business cases and opportunity‑sizing analyses for strategic investments.
• Lead initiatives from problem definition through recommendation, aligning insights with business priorities.
• Partner with Product, Commercial, Marketing, Finance, and Strategy teams.
• Help define analytical priorities and measurement approaches.
• Contribute to analytical standards and best practices.
• Mentor and support junior team members.

• Data‑driven mindset with a degree in a quantitative discipline.
• 8+ years of experience in data science or related field, leading complex initiatives and mentoring.
• Expert fluency in SQL and Python, building scalable solutions.
• Experience applying advanced data science methods in business contexts.
• Track record of translating findings into clear recommendations.
• Experience defining analytical frameworks and experimentation strategies.
• Ability to work with senior stakeholders across functions.
• Proficiency in visualization tools such as Tableau or Looker.
• Strong written and verbal communication skills.
• Ability to work proactively in a fast‑paced environment with competing priorities.

• Thrives in ambiguous environments, brings clarity.
• Naturally curious, digs beyond surface questions.
• Solid at turning analysis into tangible outcomes.
• Combines analytical rigor with business judgment.
• Influences decisions through data and stakeholder engagement.
• Enjoys helping others grow and fosters learning culture.
• Embraces AI‑native tools to improve productivity.
• Communicates complex ideas clearly at all levels.

Pay Pal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and 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, Pay Pal 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 paypalgloba