Why This Role Stands Out
This hybrid Senior Data Scientist role offers a unique opportunity to tackle complex, high-impact challenges at a leading consulting firm, leveraging advanced AI and machine learning to influence critical business, regulatory, and legal outcomes. You'll thrive here if you're an experienced data scientist with a passion for innovation and a desire to shape the future of data science capabilities within a collaborative, interdisciplinary team. Apply to contribute your expertise to groundbreaking projects and advance your career in a dynamic environment.
Quick Overview
Job Description
Job Description
Join a cutting-edge AI Platform team as a Senior Data Scientist in a 6-month remote contract-to-hire opportunity. You'll help develop enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.
This role offers the opportunity to work on some of the most advanced AI challenges in industry today. The team is building next-generation intelligent systems that combine LLMs, retrieval technologies, and autonomous agents to solve highly complex information and decision-making problems. They're looking for someone who can drive innovation, shape AI strategy, and help bring cutting-edge research into production.
Contract Duration: 6 Months (Contract-to-Hire)
Required Skills & Experience
Bachelor's degree required; Master's degree preferred
5-8+ years of experience in Data Science, Machine Learning, or Applied AI
Strong experience with Large Language Models (LLMs) and Generative AI applications
Hands-on experience designing and deploying RAG systems
Expertise in machine learning, NLP, and information retrieval techniques
Experience building and deploying production AI/ML systems
Strong Python programming skills
Experience working with distributed systems and cloud-based AI environments
Understanding of agentic AI architectures and autonomous workflows
Strong analytical, communication, and problem-solving skills
Desired Skills & Experience
Experience building enterprise-scale AI platforms
Familiarity with vector databases and semantic search technologies
Knowledge of legal, regulatory, or document-intensive data environments
Experience with model evaluation, monitoring, and optimization
Exposure to workflow automation and intelligent agent frameworks
Experience collaborating across data science, engineering, and product teams
Advanced degree in Data Science, Computer Science, Machine Learning, or a related field
What You Will Be Doing
Tech Breakdown
40% LLMs, RAG, and Generative AI
30% Machine Learning & NLP
20% Agentic AI & Intelligent Automation
10% Distributed Systems & Platform Collaboration
Daily Responsibilities
75% Hands On
5% Management Duties
20% Team Collaboration
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