Principal Data Scientist

AbbVie

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Mettawa, IL
Salary: $124,500–$236,500 / yr
Posted: 8 days ago
Freshness: Confirmed live today
Closes: Oct 19, 2126
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k

This role $180k

$111k $250k

below market most similar roles pay here above market

This role pays more than 57% of similar roles. Most pay $154,512–$214,500 — the blue band above. At the midpoint, this role pays about $180k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

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JOB TITLE: Principal Data Scientist The Principal Data Scientist serves as the senior technical and scientific leader for the omnichannel engagement analytics team within the APEX Enterprise Advanced Analytics and Innovation group. This role establishes the multi-year science vision for personalized commercial engagement, focusing on channel mix, content, and field representative call planning. You will build and lead the design of predictive and causal models, next-best-action recommendations, and LLM-backed systems using advanced RAG and context engineering. Key responsibilities include prototyping with generative AI, defining technical roadmaps, and establishing measurement science for business impact. Required skills include expert proficiency in Python, SQL, PyTorch, and TensorFlow, alongside deep expertise in causal inference, experimentation, and MLOps tools like Databricks and MLflow to solve complex commercial engagement and resource allocation problems.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

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Skills

Python SQL Generative AI Machine Learning Causal Inference PyTorch TensorFlow RAG MLOps Databricks Azure ML MLflow Distributed Data Processing A/B Testing Reinforcement Learning Transformers Agile Deep Learning

What you'll do

Define the multi-year data science vision and technical roadmap for omnichannel engagement analytics.
Identify and prioritize AI opportunities to drive measurable commercial impact and build business cases.
Prototype and build LLM-backed systems using advanced RAG, context engineering, and agentic tools.
Develop predictive and causal models for next-best-action, recommendations, and sequential decision-making.
Establish standards for measuring effectiveness and incrementality using experimental and quasi-experimental methods.
Partner with product owners to translate business outcomes into scalable technical solutions.
Deploy, monitor, and manage the lifecycle of AI/ML solutions in production environments.
Translate complex technical findings into clear recommendations and narratives for executive audiences.

What we're looking for

Bachelor’s Degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline required.
Master’s or PhD in a quantitative field (preferred).
8+ years of experience in data science, machine learning, or applied science, or 6+ years with a PhD.
Demonstrated experience setting technical direction for AI/ML solutions and influencing senior business leaders.
Experience building personalization, recommendation, decision-optimization, or marketing-science solutions.
Deep hands-on expertise in causal inference, experimentation, A/B testing, and quasi-experimental methods.
Demonstrated hands-on experience using generative AI and AI-assisted development tools to prototype and deliver solutions.
Expert proficiency in Python and SQL, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed data processing.

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