Senior 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. By choosing to apply, you acknowledge and agree to these requirements. What you'll need to succeed as a Senior Data Scientist at XPO:Minimum qualifications:Bachelor's degree or equivalent related work or military experience2 year of experience in data science or applied AI, with a focus on Generative AI, Agentic AI, or LLM-powered applicationsBachelor's degree or equivalent related work or military experienceStrong communication skills with the ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative disciplineA Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical fieldExperience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agentsExperience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutionsFamiliarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other internal data sourcesFamiliarity with Agentic AI concepts, including tool calling, API integration, workflow orchestration, and multi-step AI workflowsUnderstanding of machine learning and AI concepts, including model development, testing, evaluation, and deployment About the Senior Data Scientist job:Pay, Benefits and more: Competitive compensation packageFull health insurance benefits available on day oneLife and disability insuranceEarn up to 15 days of PTO over your first year9 paid company holidays401(k) option with company matchEducation assistanceOpportunity to participate in a company incentive plan What you'll do on a typical day:Build, deploy, and scale GenAI chatbots and AI assistants across the organization to improve how employees access information and complete business tasksDevelop RAG-enabled applications that securely connect LLMs with enterprise documents, databases, and internal knowledge sourcesBuild Agentic AI workflows that use tools, APIs, and enterprise systems to automate multi-step processesImprove conversational AI performance through prompt engineering, retrieval strategies, model evaluation, and response optimizationHelp implement AI guardrails, monitoring, and governance to ensure solutions are accurate, secure, scalable, and reliableIntegrate GenAI solutions with enterprise applications, data platforms, and internal systemsPartner with Engineering, Product, Cybersecurity, and business teams to move solutions from proof of concept through production deploymentResearch emerging GenAI, LLM, RAG, and Agentic AI technologies and identify new opportunities to improve productivity, operational efficiency, and business performance About XPOXPO 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. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. 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. Review XPO's candidate privacy statement here.