Sr DS(Search) (NCS/Job/ 3727)

What you’ll do
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Develop search ranking models (learning-to-rank, neural ranking, hybrid)
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Improve query understanding:
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Tokenization, normalization, semantic matching
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Embeddings (dual encoders, semantic search)
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Work with implicit feedback signals (click models, dwell time, conversions)
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Design and evaluate ranking metrics (NDCG, MAP, CTR, CVR)
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Run controlled experiments to improve relevance
Current challenges
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Moving beyond lexical search → semantic retrieval
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Handling long-tail queries and ambiguous intent
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Balancing relevance vs business objectives
Tech stack (indicative)
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Python, SQL
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Elasticsearch / OpenSearch (or similar)
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ML frameworks (XGBoost, LightGBM, DL models)
What we’re looking for
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Experience in search, ranking, or information retrieval
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Strong feature engineering and modeling skills
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