Staff Data Scientist

PayPal is seeking a Staff Data Scientist to join their team in San Jose, CA. The ideal candidate will have experience in analytics, statistics, and product data science, with a strong background in SQL, Python, and data visualization. The role will involve working closely with cross-functional teams to define success metrics, design experiments, analyze user behavior, and deliver insights that drive product strategy and improve user outcomes.

Requirements

• Master's degree in Statistics, Mathematics, or a closely related field
• 5 years of experience in the job offered or a related occupation
• Experience with analytics, including querying large datasets, building dashboards, and translating complex data into actionable insights
• Experience in statistics, including hypothesis testing, regression analysis, confidence intervals, and statistical modeling
• Experience writing complex SQL queries to extract, manipulate, and analyze large datasets
• Experience in product data science, partnering with cross-functional teams to define success metrics, design experiments, analyze user behavior, and deliver insights that drive product strategy and improve user outcomes
• Experience in designing, implementing, and analyzing A/B tests to drive product decisions and optimize user experiences
• Experience applying causal inference techniques to isolate the true impact of product changes and strategic interventions in observational data settings
• Experience using Python for data analysis, including data wrangling with pandas, statistical modeling, visualization, and building scalable data pipelines and experimentation frameworks

Benefits

• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security and support your mental health