Data Scientist

Lucas Group
New York, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 177K

Job location

Remote
New York, United States of America

Tech stack

Artificial Intelligence
Data analysis
Text Processing
Graph Database
Python
Machine Learning
Natural Language Processing
Neo4j
Large Language Models
Multi-Agent Systems
Prompt Engineering
Model Validation
Information Technology

Job description

  • Lead experimentation and model development for AI/ML solutions in legal products.
  • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Define 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

  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Proven experience designing and running experiments, including model evaluation and iteration.
  • 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., * Experience in legal, regulatory, compliance, or risk analytics domains.
  • Familiarity with legal text corpora, citation networks, or legal research workflows.
  • Experience with graph databases (e.g., Dgraph, Neo4j, Neptune) and knowledge graph concepts.
  • Knowledge of responsible AI practices (e.g., explainability, bias mitigation).
  • Experience influencing product direction through data science insights.

Education & Work Experience

  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).

About the company

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com

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