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Psl Scale For Modeling Jobs in Missouri (NOW HIRING)

Analyze large-scale legal datasets to extract insights and improve model performance. * Establish best practices for model evaluation, validation, and benchmarking. * Translate experimental results ...

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Staff, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ... Establish best practices for model validations, experiemention, and safe deployment of AI systems.

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Senior Data Scientist II

Jobtailor

California, MO • On-site

$120 - $160/hr

Other

Posted 13 days ago


Job description

Responsibilities
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.
Requirements
  • Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)
  • Strong experience in machine learning, NLP, and LLM-based modeling
  • Strong experience designing and running experiments, including model evaluation and iteration
  • Strong coding skills
  • Experience with generative AI techniques (e.g., prompt engineering, RAG)
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases
  • Experience designing agentic workflows and reasoning strategies, with hands‑on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real‑world use cases
  • Proficiency in Python and data analysis tools
  • Strong foundation in statistics, modeling, and large‑scale text processing
Core Competencies

Demonstrates expertise in Natural Language Processing (NLP), Large Language Models (LLM), and generative AI techniques, with a strong foundation in machine learning and statistical analysis. Capable of designing agentic workflows and hybrid search strategies while providing technical leadership and mentoring in data science.

Tools & Technologies
  • LangChain
  • LangGraph
  • AutoGen
  • Vector Databases
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