Data Scientist

Woodland Hills, CA, US • Posted 23 hours ago • Updated 23 hours ago
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Algorithms
  • Document Processing
  • Evaluation
  • Extraction
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)

Summary

We are looking for Data Scientist for our client in Woodland Hills, CA
Job Title: Data Scientist
Job Location: Woodland Hills, CA
Job Type: Contract
Job Overview:
Pay Range: $60hr - $63hr
  • Data Science Engineer Role Overview We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions.
  • The ideal candidate will have deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
  • Key Responsibilities Develop and deploy machine learning and GenAI solutions using Python Design and optimize prompt engineering strategies for LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness Required Qualifications Expert-level proficiency in Python Strong experience in model training, evaluation, and tagging workflows Hands-on experience with document extraction and chunking techniques Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB.
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: 10516350
  • Position Id: CA_DATS_0330
  • Posted 23 hours ago
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