Principal Data Scientist

AbbVie

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mettawa, IL
Salary
$124,500–$236,500 / yr
Posted
44 days ago
Freshness
Confirmed live yesterday
Closes
Jul 29, 2126

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $170k
This role $180k
$103k most similar roles pay here $251k

This role pays more than 64% of similar roles. Most pay $137,743–$202,289 — the shaded band above. At the midpoint, this role pays about $180k versus about $170k 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 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

Principal Data Scientist serves as the technical lead within the Analytics and Performance Excellence team, overseeing a portfolio of advanced analytics products for personalized commercial engagement and performance optimization. This role is responsible for the end-to-end technical strategy, model design, development, and validation of AI/ML and statistical solutions to drive data-driven decision making in a pharmaceutical context. The candidate will build predictive and inferential models using multi-source data to analyze customer behavior and evaluate cross-channel engagement patterns. Key technologies include Python, R, SQL, pandas, NumPy, scikit-learn, PySpark, and deep learning frameworks like PyTorch or TensorFlow. The role also involves productionizing solutions in cloud environments using tools such as Databricks and MLflow. Essential skills include causal inference, experimentation, feature engineering, and translating complex technical findings into actionable insights for non-technical stakeholders.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Translate business goals and product requirements into scalable technical solutions including model design and feature engineering.
  • Develop predictive and inferential models to identify customer behavior patterns and drivers of business performance.
  • Design analytics approaches to evaluate cross-channel engagement patterns and temporal dynamics for coordinated strategies.
  • Establish measurement methodologies using experimental and observational methods to determine effectiveness and business impact.
  • Partner with engineering teams to productionalize, deploy, and monitor AI/ML solutions in cloud environments.
  • Synthesize complex technical findings into actionable insights and recommendations for non-technical stakeholders.
  • Provide technical mentorship and guidance to junior and mid-level data scientists on the advanced analytics team.
  • Oversee the quality of deliverables and methodology validation for external analytics vendors and partners.

What we're looking for

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline is required.
  • Master’s or PhD in a quantitative field is preferred.
  • 8+ years of experience in data science, machine learning, or advanced analytics with production-quality model delivery is required.
  • 5+ years of experience in pharmaceutical, biotech, healthcare, or life sciences commercial analytics is preferred.
  • 4+ years of experience in omnichannel analytics and 4+ years of experience measuring commercial effectiveness using experimental methods are required.
  • Proficiency in Python (including pandas, NumPy, scikit-learn, PySpark) and SQL is required.
  • Experience productionizing AI/ML solutions in cloud environments with deployment and monitoring is required.
  • Advanced ML techniques, pharmaceutical data familiarity, MLOps tools, and LLM workflows are preferred.

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