Principal Data Scientist, Omnichannel AI & Experiments

NCSL International; Illinois; On-site; USD 180,000 - 230,000; Full time

Job summary

AbbVie in Illinois is seeking a Principal Data Scientist to lead omnichannel engagement analytics, shaping the multi-year AI strategy and delivering scalable ML solutions across channels and teams. You will own the experimentation framework and drive impact with advanced modeling and measurement.

The role requires deep expertise in causal inference, generative AI, and production-grade ML, with a strong track record of influencing senior leaders and translating complex analyses into clear

Qualifications

• 8+ years in data science or applied analytics with production ML.
• Experience setting technical direction and influencing leadership.
• Experience in personalization, recommendations, or marketing science.
• Hands-on with generative AI and AI-assisted development tools.
• Proficient in Python and SQL; cloud deployment experience.

Responsibilities

• Define multi-year Data Science vision and technical roadmaps.
• Shape AI business value and build business cases for senior leadership.
• Prototype and validate Gen-AI solutions with rigorous evaluation.
• Develop next-best-action and sequential decision models for engagement.
• Measure effectiveness with experimental designs and quasi-experiments.
• Collaborate with product owners to translate outcomes into scalable tech.
• Communicate findings to executive audiences.
• Productionize AI/ML solutions with deployment and monitoring.
• Lead with scientific rigor and mentorship.

Skills

Machine learning

Causal inference

Generative AI

Experiment design

Education

Bachelor's degree in Statistics/CS/Math

Master's or PhD preferred

Tools

Python

SQL

PyTorch

TensorFlow

LLM APIs

Job description

AbbVie in Illinois is seeking a Principal Data Scientist to lead omnichannel engagement analytics, shaping the multi-year AI strategy and delivering scalable ML solutions across channels and teams. You will own the experimentation framework and drive impact with advanced modeling and measurement.

The role requires deep expertise in causal inference, generative AI, and production-grade ML, with a strong track record of influencing senior leaders and translating complex analyses into clear