Principal Data Scientist, Commercialization

Job Description

Position Summary:

We are looking for a deeply technical, intellectually curious Principal Scientist who is excited about the power of AI and motivated to ship solutions that meaningfully change how commercial teams operate. 

You will join a high impact Commercial AI and Data Science team working at the intersection of AI, data engineering, and commercial strategy. The team supports a growing portfolio of production AI applications built on a modern Snowflake and Databricks architecture. 

This role is ideal for a hands-on expert who codes, experiments, and delivers AI solutions, and who is eager to become a technical leader in advanced ML and AI methods that push the boundaries of what pharma commercial teams can do. 

Key Responsibilities:

Advanced Analytics & AI Delivery 

• Design, develop, and deploy advanced analytical and machine learning solutions to support commercial decision making for hundreds of users across multiple disease areas and modalities.

• Build and enhance Next Best Action models, including propensity scoring, HCP segmentation, and recommendation engines. 

• Develop patient and HCP analytics to support targeting, activation, and reactivation strategies. 

• Apply causal inference and experimental methods to assess the impact of marketing and field interventions. 

AI & Platform Enablement 

• Develop and support production grade AI solutions and decision support tools. 

• Partner with data engineering and platform teams to ensure solutions are scalable, compliant, and production ready within Snowflake and Databricks environments. 

• Contribute to the evolution of reusable analytics and AI frameworks that can be leveraged across brands and disease areas. 

Commercial Decision Support 

• Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into scalable solution roadmap. 

• Translate complex analytical outputs into clear, actionable insights for nontechnical stakeholders and senior leadership. 

• Support launch readiness, postlaunch optimization, and ongoing performance management through data driven recommendations. 

Leadership & Mentorship 

• Serve as a technical leader within the Commercial AI and Data Science team, setting best practices for modeling, experimentation, and impact measurement. 

• Mentor and coach junior data scientists, contributing to capability development and a strong analytics culture. 

• Promote responsible and ethical use of AI in alignment with Vertex values and governance standards. 

Required Education and Experience 

• PhD in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Applied Mathematics)