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Member of Technical Staff (Data Scientist/Engineer, Online Metrics)

Data Engineer • Remote • Vollzeit • 📍 New York City

Derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior.

Responsibilities

  • Discover and validate online signals that serve as reliable proxies for true answer quality
  • Design and implement new online metrics for A/B testing and product health dashboards, aligned with ground-truth evaluations
  • Analyze experimental results to validate metrics, ensuring they accurately predict user satisfaction
  • Build and maintain data pipelines that calculate these metrics at scale
  • Communicate findings in close collaboration with Product and Search teams
  • Operate in a small, high-impact team shaping how Perplexity measures and improves Answer Quality

Requirements

  • MS in a technical field or equivalent experience
  • 4+ years of experience as a Data Scientist, Analytics Engineer, or related role
  • Experience with search, recommendation, or LLM-based products, designing online metrics and analyzing A/B experiments
  • Strong proficiency in Python and SQL (production-grade code expected)
  • Deep knowledge of statistical analysis
  • Experience with Business Intelligence (BI) tools for visualization and reporting
  • Comfortable with agentic coding workflows and AI-assisted development tools

Nice to have

  • Proficiency with Apache Spark and Databricks
  • Experience with the development or validation of LLM-as-a-judge systems
  • Prior work supporting customer-facing products at scale

Soft skills

Clear communication and close collaboration with Product and Search teamsAutonomy in a small, high-impact team

About the company

Perplexity serves tens of millions of users daily with reliable, high-quality answers from its LLM-first search engine and specialized data sources; the Answer Quality team measures and improves answer quality.

Education: MSc műszaki területen (vagy azzal egyenértékű tapasztalat)

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