Senior Data Scientist (GenAI Solutions) - Hybrid

About XPO XPO provides world-class transportation solutions to the most successful companies in the world. We have a high-energy team around the globe focused on being the best in the industry. Given the scope of our business, there are opportunities to do satisfying work in many different fields, and at all levels of experience. If you’re ready to move the world forward, we’d like to invest in you. (NYSE: XPO)

XPO

Your freight first.

LTLLess-Than-Truckloadand Freight Transportation

X

xpo.com

10,001+ employees

Truck Transportation

Greenwich, CT

Public Company

646k LinkedIn followers

Raised $741M

• 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
• XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.
• All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
• The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.

Required

• 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
• Opportunity to participate in a company incentive plan

Preferred

• 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

• Full health insurance benefits available on day one
• Life and disability insurance
• Earn up to 15 days of PTO over your first year
• 9 paid company holidays
• 401(k) option with company match