Data Scientist (GenAI Solutions) - Hybrid

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones/earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in-person interview will be required as part of the application process.

Minimum Qualifications

• Bachelor’s degree or equivalent related work or military experience
• 1 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applications
• 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

Preferred Qualifications

• 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+ years 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

Responsibilities

• 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

Benefits

• Competitive compensation package
• 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
• Education assistance
• Opportunity to participate in a company incentive plan

About XPO

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.