Principal Data Analyst, Information Retrieval (Bengaluru)

Role: Senior Data Scientist Experience: 3 to 5 years. About the role: Youll work on the core ranking and retrieval systems behind search, optimizing how user queries map to the product catalog at scale. What youll do: - Develop search ranking models (learning-to-rank, neural ranking, hybrid) - Improve query understanding: -Tokenization, normalization, semantic matching - Embeddings (dual encoders, semantic search) - Work with implicit feedback signals (click models, dwell time, conversions) - Design and evaluate ranking metrics (NDCG, MAP, CTR, CVR) - Run controlled experiments to improve relevance Current challenges: - Moving beyond lexical search semantic retrieval - Handling long-tail queries and ambiguous intent - Balancing relevance vs business objectives Tech stack (indicative) - Python, SQL - Elasticsearch / OpenSearch (or similar) - ML frameworks (XGBoost, LightGBM, DL models) What were looking for - Experience in search, ranking, or information retrieval - Robust feature engineering and modeling skills - Understanding of trade-offs between offline metrics and online impact - Product intuition around search UX Preferable experience in recommender systems or ranking problems Role: Senior Data Scientist Experience: 3 to 5 years. About the role: Youll work on the core ranking and retrieval systems behind search, optimizing how user queries map to the product catalog at scale. What youll do: - Develop search ranking models (learning-to-rank, neural ranking, hybrid) - Improve query understanding: -Tokenization, normalization, semantic matching - Embeddings (dual encoders, semantic search) - Work with implicit feedback signals (click models, dwell time, conversions) - Design and evaluate ranking metrics (NDCG, MAP, CTR, CVR) - Run controlled experiments to improve relevance Current challenges: - Moving beyond lexical search semantic retrieval - Handling long-tail queries and ambiguous intent - Balancing relevance vs business objectives Tech stack (indicative) - Python, SQL - Elasticsearch / OpenSearch (or similar) - ML frameworks (XGBoost, LightGBM, DL models) What were looking for - Experience in search, ranking, or information retrieval - Robust feature engineering and modeling skills - Understanding of trade-offs between offline metrics and online impact - Product intuition around search UX Preferable experience in recommender systems or ranking problems