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 Data Scientist at XPO: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
- 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 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
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
