Data Scientist (GenAI Solutions) - Hybrid

About the Position

Data Scientist (GenAI Solutions) - Hybrid

Junior • Hybrid

Boston, MA

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.

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Responsibilities

On a typical day, you will:

• 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.

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Requirements

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, 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.

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We Offer

• 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

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About the Company

XPO Logistics

XPO Logistics is a top-ten global transportation-services provider, operating through a highly integrated network of people, technology, and physical assets. The company distinguishes itself through its scale and technology-enabled approach to logistics and transportation. Its culture emphasizes tackling challenges, clear communication, growth, and driving positive results, while its equal-opportunity commitment reflects an inclusive workplace principle.

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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.