Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Senior Data Scientist II at LexisNexis developing AI-driven capabilities for legal technology. Designing and validating solutions using machine learning, NLP, and large language models for legal workflows.
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
- 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
Benefits
- Health insurance
- Annual incentive bonus
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