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Search Data Scientist / Search Relevance Engineer

Remote • Posted 4 hours ago • Updated 2 hours ago

Contract W2

Contract Corp To Corp

12 Months

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Summary

Job Description:
We are seeking a Search Data Scientist / Search Relevance Engineer to help improve search and discovery across large, rapidly changing content collections. This role combines information retrieval, data science, NLP, and search engineering, with a strong focus on improving and measuring search relevance.
Responsibilities

Design, configure, and tune hybrid search combining BM25/lexical retrieval with vector and embedding-based search.
Improve retrieval, ranking, and relevance within Elasticsearch, OpenSearch, or similar search platforms.
Develop and test query classification, intent detection, query expansion, and routing approaches.
Build and evaluate reranking, filtering, deduplication, thresholding, and result diversification strategies.
Apply NLP techniques including entity recognition, disambiguation, semantic similarity, and embedding-based retrieval.
Analyze search failures and relevance gaps and recommend improvements.
Develop search evaluation frameworks using relevance judgments, benchmark datasets, Precision/Recall, MRR, nDCG, A/B testing, and other appropriate metrics.
Partner with engineering and product teams to move search improvements from experimentation into production.
Optimize search solutions for relevance, latency, scalability, and cost.

Qualifications

4 -9 + years of experience in search, information retrieval, data science, or a related field.
Strong Python skills.
Hands-on experience configuring and tuning Elasticsearch or OpenSearch.
Strong understanding of BM25, vector search, embeddings, KNN/ANN, hybrid retrieval, and lexical/vector fusion techniques such as RRF.
Experience with search ranking and relevance tuning, including post-retrieval reranking.
Experience working with large-scale, semi-structured, and rapidly changing datasets.
Ability to evaluate search quality and demonstrate measurable improvements.
Experience delivering search or ML solutions into production environments.
Strong problem-solving and communication skills.

Additional info:

Must have Opensearch or Elasticsearch
Candidates must be authorized to work in the United States without current or future sponsorship.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10112164
Position Id: 26-89216
Posted 4 hours ago

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