Senior Data Scientist – Search & Recommendations
Core
Analyze large-scale e-commerce search data to identify trends and improvement opportunities across search, ranking, recommendations, and personalization.
Role type
Senior IC data scientist (search & recommendations)
Builds
End-to-end metrics layers, visualizations, and analytical solutions for e-commerce search funnels
Domain
E-commerce, Information Retrieval, Search & Ranking
Deliverable
dashboards & analysis
Required skills
SQL, Python (Pandas), statistical analysis, query and ranking analysis, KPI definition, experiment design, event-level data processing, server-side log analysis, cross-functional collaboration
Preferred skills
GCP, distributed data systems, analytical databases, offline relevance evaluation metrics (NDCG, Recall@K, MRR, MAP), information retrieval theory, recommender systems, ranking models
Technologies
SQL, Python, Pandas, GCP
Responsibilities
Analyze search behavior including zero results, query reformulation, abandonment, and position bias; Define and interpret search KPIs (CTR, conversion, revenue); Design and evaluate ML/search experiments; Build multidimensional metrics layers from raw tracking data; Collaborate with Product, Data Science, MLOps, and Engineering teams
Seniority
Senior, hands-on IC
