Associate Director, Commercial Data Science

Associate Director, Commercial Data Science What you will do

In this vital role the Associate Director of Data Science within the Customer Data & Analytics team is accountable for the delivery of key AI/ML projects for the Data Science team within Amgen’s commercial organization. The Associate Director will lead a team of data scientists to utilize advanced methodologies in AI/ML to craft and deploy bespoke solutions.

This position reports to the Senior Director, Commercial Data Science and will be responsible for the following activities within the CBU and IBBU brands:

Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week.

• Lead execution and delivery for Machine Learning and advanced analytics projects overseeing capabilities for predictive modeling, AI/ML, Gen AI, and other large‑scale data modeling projects
• Prototype and product ionize advanced models using probabilistic time‑series, deep learning, causal inference, reinforcement learning, agent‑based simulation, and generative/agentic techniques
• Lead omnichannel media strategy aligning with brand objectives and driving impact
• Provide day‑to‑day guidance for a team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI
• Develop, coach, lead, and retain a dynamic, high‑performing Data Science team delivering results, and gaining trust with stakeholders
• Effectively communicate with key stakeholders on the impact, status and success of Data Science capability initiatives
• Provide Data Science capability through relevant data science certifications and biopharmaceutical industry expertise and direction to the CD&A organization
• Maintain an awareness of current research and standard methodologies in the field of data analytics, including best practices in analytics
• Primary point of contact for commercial leaders to engage in AI/ML activities
• Engage and communicate with key stakeholders on the impact, status and success of Data Science capability initiatives

We are all different, yet we all use our unique contributions to serve patients. The data and decision sciences professional we seek is a leader with these qualifications.

• Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
• Master’s degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
• Bachelor’s degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
• Associate’s degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
• High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources. Your managerial experience may run concurrently with the required technical experience referenced above.

• Relevant data science experience and bio/pharmaceutical industry experience
• Excellent leadership and management skills, with the ability to manage and develop a team of data scientists and analysts, 3+ years of direct people management experience
• Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques with 5+ years of experience delivering complex analytical projects
• Experience in Databricks and AWS (and other cloud technologies)
• Advanced proficiency and hands‑on coding experience in Python/R/Scala/Java or any other object‑oriented programming language
• Proficiency working with external claims data to understand patient journeys and conduct relevant analysis for…