Job description

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 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 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+ 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 About the Senior Data Scientist job: Pay, Benefits and more: • 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 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 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 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. 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 .

Requirements

Must-haves

What you’ll need to succeed as a Senior Data Scientist at XPO:
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
3+ year of experience in Data Science, Applied AI, Machine Learning, Generative AI, or a related technical field
Competitive compensation package
Life and disability insurance
Earn up to 15 days of PTO over your first year
Education assistance
Opportunity to participate in a company incentive plan
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

Nice-to-haves

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
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythonsqljavamlmachine learningapi

Platform: career-feeds
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

401(K)

Pto