Associate Director, Commercial Data Science

** Join Amgen's Mission of Serving Patients*
* At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas
-Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

** Associate Director, Commercial Data Science*
* ** What you will do*
* Let's do this. Let's change the world. 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. In addition, 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.*
* + Leads 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 team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI

+ Develops, coaches, leads, and retains a dynamic, high-performing Data Science team delivering results, and gaining trust with stakeholders

+ Effectively communicates with key stakeholders on the impact, status and success of Data Science capability initiatives

+ Provides 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

+ Engages and communicates with key stakeholders on the impact, status and success of Data Science capability initiatives

** What we expect of you*
* 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.

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* Basic Qualifications:

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* Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

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 or resources.  Your managerial experience may run concurrently with the required technical experience referenced above

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* Preferred Qualifications:

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* + 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…