Quality Data Scientist: Predictive Analytics Leader

AbbVie; Illinois; On-site; USD 120,000 - 170,000; Full time

Job summary

AbbVie in Illinois is seeking a Data Scientist to join the Operations Quality Data Analytics group. You will build predictive and prescriptive models using statistical and machine-learning methods, delivering data-driven insights to improve quality and efficiency across global operations.

Collaborating with data scientists, business partners, and senior leaders, you will mentor teammates, oversee end-to-end data science projects, and ensure regulatory compliance with GMPs and SOPs.

Qualifications

• Bachelor’s or Master’s degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field.
• 4+ years of related experience for BS, 2+ years for MS, or 0+ years for PhD.
• Proficiency in R, Python, and statistical packages.
• Experience with visualization tools PowerBI, Spotfire, Tableau.
• Experience with machine learning and advanced analytics.
• Strong communication and problem‑solving skills.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Operate cross-functionally with data scientists, leaders, and business partners.
• Consult with users to analyze requirements and propose solutions.
• Develop advanced data analytical models via ML, statistics, and AI.
• Mentor junior team members and ensure study integrity.
• Deliver end-to-end data science applications and POCs.
• Support process improvements and regulatory compliance.

Skills

Python

R

Machine Learning

Statistics

Data Science

Data Visualization

Communication

Problem Solving

Cross-functional collaboration

Education

Statistics

Mathematics

Analytics

Bioinformatics

Data Science

BSc/MSc in relevant field

Tools

PowerBI

Tableau

Spotfire

Dataiku

Snowflake

Databricks

Job description

AbbVie in Illinois is seeking a Data Scientist to join the Operations Quality Data Analytics group. You will build predictive and prescriptive models using statistical and machine-learning methods, delivering data-driven insights to improve quality and efficiency across global operations.

Collaborating with data scientists, business partners, and senior leaders, you will mentor teammates, oversee end-to-end data science projects, and ensure regulatory compliance with GMPs and SOPs.