Data Scientist / ML Engineer (Ecommerce exp MANDATE)

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract Corp To Corp
Contract W2
Contract Independent
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Experience with eCommerce Search.Experience in Microservices
  • Event-Driven Architectures
  • and CI/CD Pipelines.

Summary

Data Scientist / ML Engineer (Ecommerce exp MANDATE) Location: Remote (Position 1 Onshore, St. Louis, USA)
Experience: 8+yrs

Rates : Very competitive

Nice-to-Have Skills

  • Experience with eCommerce Search.
  • Experience in Microservices, Event-Driven Architectures, and CI/CD Pipelines.
    Background Check: Before Onboarding

Required Qualifications

  • 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.
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: RTX1d590a
  • Position Id: DS_ML_ECOMM
  • Posted 1 hour ago
Contact the job poster
AS

Anju Sultana

Recruiter @ Conquest Tech Solutions Inc
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