Jobs → Data & Analytics → Data Scientist / Data Engineer – GenAI

About the Role We are looking for a Data Scientist / Data Engineer with expertise in GenAI to join our team. This role combines production data engineering with advanced statistical analysis to ensure our consumer products remain prominently recommended and accurately represented. Key Responsibilities • Build and maintain ingestion pipelines for AI-answer tracking data, crawler feeds, and Search Console logs into Databricks/Athena with data quality monitoring • Standardize core metrics including Recommendation Win Rate, presence, favorability, share of voice, citation share, and answer accuracy into versioned warehouse views • Build and own portfolio dashboards in Tableau/Looker featuring north-star trends, competitor benchmarks, and automated weekly reads with noise flags • Design MCP/plugin connectors and context layers so stakeholders can query GEO data via AI assistants without hallucinations • Execute rigorous research on organic search interception, citation drivers, retrieval vs. content index issues, and model memory update speeds using experimental design and difference-in-differences analysis Requirements • 8+ years of combined experience in data science and data engineering owning production data products end-to-end • Degree in Computer Science, Statistics, Mathematics, Economics, or a quantitative field (Master's preferred) • Proven expertise in production pipelines, LLM connectors/evaluators, executive dashboards, and statistical experimentation