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# Data Scientist / ML Engineer (Ecommerce exp MANDATE

- **Company:** Conquest Tech Solutions, Inc.
- **Location:** St. Louis, MO, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Apache Lucene, Computational Linguistics, Data Cleansing, Database Queries, Elasticsearch, Information Retrieval, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Search Technologies, Apache Solr, Stemming, Tableau (Software), Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Indexer, Pandas, Scikit Learn, Information Technology, Machine Learning Operations, Looker Analytics, Software Version Control, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/15a71b13-ad86-4fce-91ca-aaaf0f5957c0

## About the Role

* Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
 * 8 12 years of overall IT experience with 3+ years of hands-on experience in machine learning, data science, search relevance, or ranking systems.
 * Strong expertise in Python and ML frameworks such as MLFlow, TensorFlow, PyTorch, Scikit-learn, or equivalent.
 * Experience with statistical analysis, data exploration, and large-scale datasets.
 * Hands-on experience with Pandas, NumPy, Spark, feature engineering, and data preprocessing.
 * Experience building ranking models (Learning-to-Rank, Neural Ranking, or similar).
 * Experience with semantic search, embeddings, or dense retrieval methods.
 * Strong knowledge of Elasticsearch, Solr, OpenSearch, Lucene, BM25, information retrieval, search relevance tuning, tokenization, stemming, and query parsing.
 * Experience with MLOps, including model versioning, experiment tracking, and pipeline orchestration.
 * Strong SQL skills.
 * Excellent analytical, problem-solving, communication, and cross-functional collaboration skills.

Preferred Skills

 * Search query analysis and user behaviour analysis.
 * Training and fine-tuning machine learning models.
 * Experience with Large Language Models (LLMs) and prompt engineering.
 * Semantic indexing and dense vector search (Vector Databases).
 * Search metrics evaluation and optimization.
 * Tableau, Looker, or similar analytics tools.
 * Background in NLP, Information Retrieval, or Computational Linguistics.
 * Experience working on search or ML-focused teams.



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