Associate Director, Commercial Data Science
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Key skills for this role
About the Role
Amgen seeks an Associate Director of Commercial Data Science to lead AI/ML projects and a team of data scientists within the commercial organization. The role involves delivering predictive models, omnichannel media strategy, and advanced analytics.
Key Skills for This Role
Responsibilities
- Lead execution and delivery for Machine Learning and advanced analytics projects
- Prototype and productionize advanced models using probabilistic time series, deep learning, causal inference, etc.
- Lead Omnichannel media strategy aligning with brand objectives
- Provide day to day guidance for a team of data scientists
- Develop, coach, lead, and retain a high performing Data Science team
- Communicate with key stakeholders on impact and success of Data Science initiatives
- Maintain awareness of current research and best practices in data analytics
Requirements
- Doctorate degree and 3 years of experience OR Master's degree and 7 years of experience OR Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
- Minimum 3 years experience directly managing people or leading teams/projects
- Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling
- Proficiency in Python/R/Scala/Java or other OOP language
- Experience in Databricks and AWS
- Bio/Pharmaceutical industry experience preferred
Full Job Posting
Overview
- Join Amgen's mission to serve patients living with serious illnesses. Amgen is a biotech pioneer focused on oncology, inflammation, general medicine, and rare diseases.
What you will do
- 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 productionize 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.
- Primary point of contact for Commercial leaders to engage in AI/ML activities.
Basic Qualifications
- 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 OR Bachelor's degree and 9 years OR Associate's degree and 12 years OR High school diploma and 14 years.
- Minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources.
Preferred Qualifications
- 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.
- Comprehensive understanding of the components of setting up data models in git based environment with CI/CD capabilities.
- Ability to cultivate and encourage an environment of openness and transparency.
- Partners with business leaders to deliver high quality predictions that guide strategic decision making.
- Oral, written and presentation skills to explain complex concepts clearly.
- Comfortable challenging the status quo and bringing forward innovative solutions.
- Understanding of technology platforms and ability to partner with IS/IT and business leaders both onshore and offshore.
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