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Petra Labs

Marketing attribution platform for AI search

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedIn-person

About the Job

Requirements

  • Expert proficiency in Python and SQL.
  • Strong statistical and experimentation foundations, including experiment design, effect estimation, and evaluation metrics.
  • Experience building in early-stage, nebulous environments and balancing speed with rigor.
  • Ability to communicate clearly in writing and in person and influence stakeholders with evidence.

Responsibilities

  • Shape the direction of in-house research on how consumer large language models search, reason, and synthesize sources; stay current on frontier AEO/GEO research, form hypotheses, test them with scientific rigor, and publish the work.
  • Support product and engineering teams with analysis and experiments for key product decisions, including agent evaluations and changes to core analytical pipelines.
  • Design and analyze experiments and build measurement approaches when clean A/B tests are not possible.
  • Build data pipelines and recurring measurement to keep research current as models change, and bring durable findings into the product.

About the Company

Petra Labs

Marketing attribution platform for AI search

Petra Labs builds an enterprise marketing platform that helps brands understand and improve their visibility inside AI search systems like ChatGPT, Claude, and Gemini. It creates custom last-mile attribution models that link AI search activity—such as mentions, citations, and recommendations—to real business outcomes like site traffic, pipeline, and downstream revenue. The platform combines an attribution engine that logs every marketing intervention, large-scale simulations across AI models using purchase-driven prompts, and a classification layer that tracks which brands, products, and sources gain or lose influence over time. In addition to software, Petra Labs provides hands-on answer-engine-optimisation (AEO) services to act on the surfaced recommendations.

Company size
11-50
Company stage
Seed
Total funding
$5.2M
Headquarters
New York City, New York
Founded
2025

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