- San Jose, California, United States
- Hybrid
- Full-time · Senior
- $145K–$244K per year
- 2+ years
This job will lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and causal inference.
Compensation
The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
- 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.
Requirements
- Master’s degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field