PayPal Staff Data Scientist 

United States, California, San Jose 

624608258

Staff Data Scientist - Product Data Science

What You’ll Do

Key Roles and Responsibilities include:

• Act as a strategic partner to product and business leaders, shaping priorities, framing key questions, and identifying opportunities where data can influence decision-making and accelerate growth.
• Collaborate with software and data engineering teams to ensure scalable data pipelines, instrumentation quality, and alignment with PayPal’s long-term data and experimentation strategy.
• Lead end-to-end execution of A/B tests and causal analyses to evaluate feature performance, optimize user experience, and guide roadmap decisions.
• Conduct deep-dive analyses on customer behavior, product usage, and key business trends to identify insights that drive growth and retention.
• Define success metrics and develop automated monitoring frameworks that reflect experimentation standards and support scalable decision-making.
• Synthesize findings into clear, compelling data stories for executive audiences, enabling confident, data-informed decisions.
• Champion experimentation best practices and help evolve PayPal’s measurement frameworks, platform capabilities, and tooling.
• Mentor junior data scientists, fostering technical development, problem-solving excellence, and business acumen across the team.

Requirements

• Educational background in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or Engineering); advanced degree preferred.
• 9+ years of hands-on experience in data science or analytics roles, with a strong track record of driving impact in product-oriented environments.
• Expertise in controlledexperimentation—includingthe design, execution, and analysis of tests that guide product launches, feature iteration, and strategic decision-making.
• Proficiency in SQL and comfort working with large-scale, complex datasets in modern cloud environments (e.g., Google BigQuery).
• Strong Python programming skills, with experience in data exploration, statistical analysis, and visualization; familiarity with machine learning concepts is a plus.
• Strategic mindset with business fluency—able to connect the dots between data, product experience, and business outcomes.
• Proven ability to influence senior stakeholders through compelling communication, structured thinking, and insight-driven storytelling.
• Experience mentoring or guiding junior data scientists and a desire to foster a collaborative, learning-oriented environment.
• Domain experience in payments, fintech, or e-commerce is a strong plus.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $176,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please