Associate Director, Commercial Data Science

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 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, 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

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.

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 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

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 and conduct relevant analysis for therapeutic teams
• 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 in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation
• Partners with business leaders to deliver high-quality predictions that guide strategic decision making
• Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management
• 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

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.

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Salary Range