Sr Data Scientist

PayPal • San Jose, CA

1d • $175,040 - $243,500 • Hybrid

About The Position

PayPal, Inc. seeks a Sr Data Scientist in San Jose, California. The role leads the development and implementation of advanced data science models and algorithms, works with stakeholders to understand requirements and deliver solutions, drives data science best practices, ensures data quality, and mentors junior scientists.

The position uses data and analytics to inform strategy and initiatives, with end-to-end ownership of key projects. It involves analyzing business trends across multiple perspectives, creating clear and accessible presentations and visualizations, identifying key metrics, and developing executive-facing dashboards. The role partners with Risk, Product, Marketing, Design, Engineering, and other teams to identify performance trends and root causes, establish business drivers, and support data-driven decisions. It also designs hypothesis-driven experiments and supports product launches through test and control plans, recommendations based on outcomes, and ongoing performance monitoring.

The position requires managing multiple projects in a fast-paced environment, analyzing large and complex datasets, communicating actionable insights to stakeholders and executives, and promoting best practices in analytics instrumentation and experimentation. Partial telecommuting is permitted from within a commutable distance. The stated schedule is 40 hours per week, Monday through Friday, 9:00 a.m. to 5:00 p.m. Travel is 0 percent. The role requires legal authorization to work in the United States without sponsorship.

Requirements

• Master’s degree or foreign equivalent in Data Science, Business Analytics, Statistics, or a closely related field.
• At least three years of experience in the job offered or a related occupation.
• At least three years of experience using SQL and at least one scripting language, Python or R, to process large, complex, and messy datasets.
• At least three years of experience designing and interpreting A/B tests or hypothesis tests to inform product decisions and new experience launches.
• At least three years of product analytics experience, including funnel analysis, user segmentation, and identifying growth opportunities.
• At least two years of experience with reporting tools such as Tableau, Looker, or Excel.
• At least three years of experience defining, measuring, and monitoring key business and product KPIs.
• At least three years of experience partnering with leadership engineers, product managers, and data engineers to understand business needs and how analytics can address them.
• At least three years of experience in statistical modeling, including regression, time-series forecasting, and classification models, to quantify impact, predict outcomes, and support strategic decisions.
• At least three years of experience translating complex problems into simpler terms and influencing peers and senior leadership.
• Must be legally authorized to work in the United States without sponsorship.

Responsibilities

• Use data and analytics to drive strategy and initiatives while taking end-to-end ownership of key projects.
• Conduct deep-dive analyses of business trends from multiple perspectives and package insights into accessible presentations.
• Create clear, visually appealing data presentations and tools that are simple for end users to navigate and understand.
• Identify key metrics and drive the development of executive-facing dashboards to track business performance and priority initiatives.
• Identify key business levers, establish cause and effect, and communicate findings to stakeholders to support data-driven decisions.
• Collaborate with Risk, Product, Marketing, Design, Engineering, and other teams to assess performance trends and root causes.
• Design hypothesis-driven experiments and support product launches by establishing test and control plans, recommending actions based on outcomes, and ensuring ongoing performance monitoring.
• Build close relationships with stakeholders to anticipate and answer questions from executives.
• Combine findings into clear insights and analyze large, complex, multidimensional datasets.
• Solve problems analytically and develop actionable recommendations.
• Establish and promote best practices in analytics instrumentation and experimentation.
• Manage multiple projects simultaneously in a fast-paced, results-driven environment.
• Lead development and implementation of advanced data science models and algorithms, drive data science best practices, ensure data quality, and mentor junior scientists.

Benefits

• Generous paid time off.
• Healthcare coverage for employees and their families.
• Resources to support financial security and mental health.
• Potential annual performance bonus, equity, or other incentive compensation, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior