Lead Data Scientist – AI/ML for Pharma Analytics

AbbVie; Mettawa (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

AbbVie is seeking a Principal Data Scientist to lead end-to-end analytics for US Commercial, driving AI/ML solutions across customer engagement and performance optimization. You will translate business needs into rigorous models, collaborate with engineering and product teams, and mentor junior data scientists in a fast-paced pharmaceutical environment.

The role emphasizes applied machine learning, causal inference, and omni-channel analytics, with responsibilities spanning model design,

Qualifications

• 8+ years in data science, ML, or advanced analytics with production models.
• 5+ years in pharmaceutical/biotech/healthcare analytics preferred.
• 4+ years in omnichannel analytics and impact measurement.
• Strong Python/SQL skills; exposure to PyTorch or TensorFlow.
• Experience productionizing ML solutions in cloud environments.

Responsibilities

• Lead a portfolio of analytics capabilities across customer understanding and engagement planning.
• Translate requirements into scalable technical solutions; design and validate models.
• Develop predictive and inferential models for customer behavior and business drivers.
• Collaborate with cross-functional teams to productionalize AI/ML solutions.
• Stay updated on advances in ML, causal inference, and pharma analytics.

Skills

Machine Learning

Python

SQL

Deep Learning

Omnichannel Analytics

Data Visualization

Stakeholder Communication

Education

Bachelor's in quantitative field

MS or PhD preferred

Tools

PyTorch

TensorFlow

Databricks

MLflow

Azure ML

Job description

AbbVie is seeking a Principal Data Scientist to lead end-to-end analytics for US Commercial, driving AI/ML solutions across customer engagement and performance optimization. You will translate business needs into rigorous models, collaborate with engineering and product teams, and mentor junior data scientists in a fast-paced pharmaceutical environment.

The role emphasizes applied machine learning, causal inference, and omni-channel analytics, with responsibilities spanning model design,