Data Scientist

Responsibilities: Drive research into consumer LLM search, reasoning, and source synthesis. Stay current on AEO/GEO research and develop/test hypotheses. Publish research findings. Support product and engineering teams with analysis and experimentation. Work on agent evaluations and core analytical pipelines. Design and analyze experiments. Perform causal inference and measurement when traditional A/B testing isn't possible. Build data pipelines and recurring measurement systems. Turn research findings into product capabilities.

Qualifications: Expert-levelPython and SQL. Strong statistical and experimentation fundamentals. Experience with experiment design, effect estimation, and evaluation metrics. Comfortable working in early-stage, ambiguous environments. Able to balance speed with analytical rigor. Strong written and verbal communication. Ability to influence stakeholders using evidence