Principal Data Scientist: Omnichannel AI Leader

AbbVie; Mettawa (IL); On-site; USD 125,000 - 237,000; Full time

Job summary

AbbVie seeks a Principal Data Scientist to lead omnichannel engagement analytics, setting the multi-year vision for AI/ML and measurement across channels. You will drive personalized engagement strategies, shape the business value of AI, and mentor teams while partnering with stakeholders to deliver scalable solutions.

You will productionize models, employ Gen-AI methods, and guide experimentation and evaluation to ensure rigorous scientific standards and measurable business impact.

Qualifications

• 8+ years of data science or applied science with production models.
• Experience setting technical direction for AI/ML solutions.
• Experience with personalization, recommendation, or marketing-science.
• Hands-on experience with causal inference and experimentation.
• Proficiency in Python and SQL; deep learning frameworks.
• Experience deploying AI/ML in cloud environments.

Responsibilities

• Define multi-year data science vision and roadmap for omnichannel analytics.
• Identify AI opportunities with measurable commercial impact and build business cases.
• Lead hands-on Gen-AI work; prototype and validate with rigorous evaluation.
• Design predictive and causal models for customer engagement and optimization.
• Establish measurement science using experiments and quasi-experiments.
• Collaborate with product owners to translate problems into scalable solutions.
• Communicate findings to executives and align stakeholders.

Skills

Data Science

Machine Learning

Gen AI

Causal Inference

Experimentation

Python

SQL

Leadership

Education

Bachelor’s Degree in quantitative field

Master’s or PhD preferred

Tools

Python

SQL

PyTorch

TensorFlow

LLM APIs

Azure ML

Databricks

MLflow

Job description

AbbVie seeks a Principal Data Scientist to lead omnichannel engagement analytics, setting the multi-year vision for AI/ML and measurement across channels. You will drive personalized engagement strategies, shape the business value of AI, and mentor teams while partnering with stakeholders to deliver scalable solutions.

You will productionize models, employ Gen-AI methods, and guide experimentation and evaluation to ensure rigorous scientific standards and measurable business impact.