About this opportunity
XPO Logistics, Inc. lists this Data Scientist (GenAI Solutions) - Hybrid opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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Data Scientist (GenAI Solutions) - Hybrid
Requisition Id:
Business Unit: Corporate
Location: Boston, MA, US, 02110
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:
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
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 .
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.