Associate Data Scientist, AI & Document Automation

AbbVie Inc.; Chicago (IL); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

401(k) matching

Paid time off

Health insurance

Job summary

AbbVie is seeking a skilled data scientist/engineer to join the doc management team. You will accelerate AI adoption, automate content workflows, and connect document repositories with enterprise systems using LLMs, RAG, and modern data technologies.

The role sits at the intersection of data science, software engineering, and scientific business processes, delivering scalable tools and dashboards that improve authoring, review, and compliance while aligning with regulatory and quality standards.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field required.
• Strong programming skills in Python and experience developing production-grade data, analytics, or AI applications.
• Experience designing data architectures, APIs, database solutions, and cloud-based applications using platforms such as AWS, Azure, or GCP.
• Hands-on experience with modern AI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases, AI agents, and document intelligence solutions.

Responsibilities

• Partner with document management, regulatory, quality, and scientific teams to identify opportunities for AI-driven process improvement and workflow automation.
• Design, develop, and deploy solutions that support automated content authoring, content reuse, document summarization, metadata extraction, quality control, and compliance-related reviews.
• Build and maintain data pipelines, integrations, APIs, and knowledge management frameworks that connect document repositories, enterprise systems, and AI services.
• Develop and apply machine learning and generative AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other modern AI technologies to improve document lifecycle management.
• Create scalable tools, applications, and user interfaces that enable business users to effectively leverage AI and automation capabilities.
• Evaluate emerging technologies and recommend practical solutions that can be adopted across the organization to increase productivity and operational effectiveness.
• Collaborate with business stakeholders to translate requirements into technical solutions while ensuring alignment with regulatory, quality, security, and governance standards.
• Establish best practices, training materials, and change management approaches that help teams successfully adopt new digital capabilities.
• Communicate technical concepts and project outcomes to both technical and non-technical audiences, driving understanding and adoption across diverse stakeholder groups.

Skills

Python

LLMs

RAG

APIs

Data pipelines

Machine learning

Cloud platforms

Knowledge management

Education

B.S. in CS

Tools

AWS

Azure

GCP

Vector databases

Document mgmt systems

AI agents

Job description

AbbVie is seeking a skilled data scientist/engineer to join the doc management team. You will accelerate AI adoption, automate content workflows, and connect document repositories with enterprise systems using LLMs, RAG, and modern data technologies.

The role sits at the intersection of data science, software engineering, and scientific business processes, delivering scalable tools and dashboards that improve authoring, review, and compliance while aligning with regulatory and quality standards.