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# Senior Data Scientist (GenAI Solutions) - Hybrid

- **Company:** XPO Logistics, Inc.
- **Location:** Greenwich, CT, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cyber Security, Databases, R (Programming Language), Python (Programming Language), Machine Learning, SAS (Software), Software Deployment, SQL Databases, Workflow Management Systems, Enterprise Software Applications, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Scikit Learn, Information Technology, Data Management, Machine Learning Operations, Automation Anywhere, Unsupervised Learning, Programming Languages
- **Published:** September 30, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/po42sojzpy

## About the Role

* Bachelor's degree or equivalent related work or military experience
 * 2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applications
 * Bachelor's degree or equivalent related work or military experience
 * Strong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendations
 * Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
 * Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
 * Strong communication skills with a knack for translating complex AI concepts into clear business insights, * Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
 * A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
 * 3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical field
 * Experience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agents
 * Experience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutions
 * Familiarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sources
 * Familiarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflows
 * Understanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment

## Description

* Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how employees access information and complete business tasks
 * Develop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sources
 * Build Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processes
 * Improve conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimization
 * Help implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliable
 * Integrate GenAI solutions with enterprise applications, data platforms, and internal systems
 * Partner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deployment
 * Research emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity, operational efficiency, and business performance