Data Scientist

Petra Labs is building the attribution and experimentation layer for AI search. We believe the future of commerce will be shaped by AI-driven information retrieval, yet most companies lack the infrastructure to understand and capitalize on this emerging growth channel. Petra Labs uses large-scale simulations, agentic analysis, and deeply embedded integrations to turn AI search from a black box into a measurable growth channel teams can rigorously optimize and allocate spend against.

Responsibilities

Drive in-house research on how consumer LLMs search, reason, and synthesize sources; Set the standard for data-driven decision making by supporting product and engineering teams with analysis and experiments; Run experimentation and causal inference, designing and analyzing experiments and building measurement when clean A/B tests aren't possible; Turn research into a product by building data pipelines and recurring measurement and pushing durable findings into the product

Requirements

Expert in Python and SQL; Strong statistical and experimentation foundations in experiment design, effect estimation, and evaluation metrics; Experience building in early-stage, nebulous environments and balancing speed and rigor; Communicates clearly in writing and in person and can influence stakeholders with evidence