Found Description
Role : Senior Data Scientist Experience : 3 to 5 years. About the role : You’ll work on the core ranking and retrieval systems behind search, optimizing how user queries map to the product catalog at scale. What you’ll 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 we’re looking for • Experience in search, ranking, or information retrieval • Strong featu...