Senior Data Scientist Ii - Agentic Ai

Case Law Reporter

Multiple Locations
Base: $104,900 - $174,700; bonus/equity: eligible ...
On-site
Nlp, llm, and generative ai approaches
Agentic workflows and reasoning strategies
Hybrid search (semantic + lexical)
Case Law Reporter seeks a Senior Data Scientist II to lead the design and validation of AI-driven product capabilities in the legal domain. The role emphasizes collaboration, mentoring, and the application of advanced machine learning and NLP techniques to enhance legal workflows

Job Summary

  • We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain.
  • This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.
  • You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Matching Summary

Match Score: 85

Case Law Reporter seeks a Senior Data Scientist II to lead the design and validation of AI-driven product capabilities in the legal domain. The role emphasizes collaboration, mentoring, and the application of advanced machine learning and NLP techniques to enhance legal workflows.

Salary

Base: $104,900 - $174,700; Bonus/Equity: eligible for annual incentive bonus; Benefits: country specific benefits

Skills & Requirements

Must-have

  • NLP, LLM, and generative AI approaches
  • Agentic workflows and reasoning strategies
  • Hybrid search (semantic + lexical)
  • Large-scale legal datasets analysis
  • Model evaluation, validation, and benchmarking
  • Python and data analysis tools

Nice-to-have

  • Technical leadership in data science
  • Mentoring junior team members
  • Translating experimental results to product recommendations

Key Requirements

  • Master’s degree or above in a quantitative or technical field
  • Strong experience in machine learning, NLP, and LLM-based modeling
  • Experience designing and running experiments
  • Experience with generative AI techniques
  • Experience designing and evaluating hybrid search
  • Experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen)
  • Strong foundation in statistics, modeling, and large-scale text processing

Work Rights

Not specified

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