Senior Data Scientist

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Duties:

• Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms.
• Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows.
• Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments.
• Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels.
• Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights.

Partial telecommuting permitted from within a commutable distance.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: San Jose, CA | Salary: $144,991.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Minimum Requirements:

• Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field plus two years of experience in the job offered or a related occupation.

Special Skill Requirements:

• Experience using Python and SQL for data analysis, querying databases, and machine learning (2 years).
• Experience with statistical analysis, probability, hypothesis testing, parametric & non-parametric tests, A/B testing frameworks and product analytics (2 years).
• Experience with Bayesian Statistics and Mixed Effect Modeling to measure Product launches. (2 years).
• Experience with machine learning and predictive modeling, including scikit-learn, TensorFlow, or PyTorch for building and deploying models (2 years).
• Experience with data visualization, Tableau, Looker, Plotly, Dash and Matplotlib/Seaborn for presenting insights (2 years).
• Experience with ETL pipelines, data warehouses to work efficiently with structured and unstructured data (2 years).
• Experience translating data insights into actionable business strategies and communicating findings to stakeholders (2 years).
• Experience with AWS, GCP, or Azure for cloud computing, storage, and model deployment (2 years).
• Experience working with PySpark and Hadoop for handling large-scale datasets (1 year).
• Experience with probabilities modeling using Monte Carlo simulation and related stochastic techniques (1 year).

Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing,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.