Senior Data Scientist – Search & Recommendations

📋 Description Search Analytics & Insights → Analyze large-scale e-commerce search data to identify trends and Query & Ranking Analysis → Investigate search behavior, including zero results, query KPI Measurement & Experimentation → Define and interpret search KPIs and rigorously evaluate Data & Metrics Development → Build end-to-end metrics layers using event-level data and Cross-Functional Analytical Leadership → Lead analytical initiatives and collaborate with Product 🎯 Requirements Strong hands-on skills in SQL and Python, particularly Pandas, supported by solid statistical Familiarity with the e-commerce search funnel and hands-on experience with query and ranking Experience defining, tracking, and interpreting metrics such as CTR, PDP view rate, add-to-cart Experience designing and statistically evaluating ML/search experiments across ranking Proficiency with event-level data and server-side search logs, including building multidimensional Proven ability to collaborate with Product Owners, Data Scientists, MLOps, and ML/Search Engineers 🎁 Benefits Physical Wellbeing: medical benefits, gym support, and personalised fitness options, complemented Work-Life Fusion: one-size-fits-one approach for flexibility in work-life dynamics Emotional Wellbeing: investment in mental wellbeing Social Wellbeing: hybrid environment with connection through work and shared interests