Principal AI Scientist - Enterprise Predictive Analytics

Genentech; South San Francisco (CA); Hybrid; USD 207,480 - 385,320; Full time

Job summary

Genentech's Data, Digital, and Analytics (DDA) team is seeking a Principal Data Scientist to lead enterprise AI/ML initiatives in Commercial, Marketing, and Medical Affairs domains. You will translate complex business challenges into rigorous analytical roadmaps and guide the development of scalable, production-grade solutions.

The role requires deep expertise in predictive modeling, recommender systems, and forecasting, plus hands-on leadership across data engineering, modeling, and

Qualifications

• 7+ years of hands-on AI experience with leadership in project execution.
• Experience applying recommender systems to enterprise data.
• Strong background in deep learning, forecasting, and causal inference.

Responsibilities

• Lead and guide data science lifecycle for high-priority AI/ML projects.
• Drive end-to-end development, scaling, and deployment of AI solutions.
• Advise leadership and stakeholders to influence strategy.
• Apply ML, deep learning, and statistics to extract insights.
• Collaborate with cross-functional teams to build scalable applications.
• Translate complex architectures into concise business narratives.

Skills

AI leadership

Recommender systems

Forecasting models

Python

Cloud AWS

Big data (Hadoop Spark)

TensorFlow

PyTorch

Education

Bachelor's degree

Master's or PhD in a quantitative field

Tools

LangChain

CrewAI

Tableau

Job description

Genentech's Data, Digital, and Analytics (DDA) team is seeking a Principal Data Scientist to lead enterprise AI/ML initiatives in Commercial, Marketing, and Medical Affairs domains. You will translate complex business challenges into rigorous analytical roadmaps and guide the development of scalable, production-grade solutions.

The role requires deep expertise in predictive modeling, recommender systems, and forecasting, plus hands-on leadership across data engineering, modeling, and