Data Scientist

Key Responsibilities
Lead experimentation and model development for AI/ML solutions in legal products. Design and evaluate NLP, LLM, and generative AI approaches, including RAG and prompt strategies. Define agentic workflows and reasoning strategies for multi-step legal tasks. Define retrieval strategies, including hybrid search combining semantic and lexical approaches, and evaluation metrics such as relevance and 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.

Required Qualifications
7+ years of experience
Bachelors Degree

Skills
Machine Learning
Natural Language Processing
Large Language Models
Generative AI
Retrieval Augmented Generation
Prompt Engineering
Agentic Workflows
Unstructured Data Processing
Embeddings
Production-Grade ML Systems
Python Programming
Experimentation Design
Model Evaluation and Validation
Product Recommendations
Cross-functional Collaboration
Technical Leadership
Product Development Lifecycle

Schedule
Start date: 2026-08-27