Data Science Director - Marketing Investment Analytics

** 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.

** Data Science Director - Marketing Investment Analytics*
* ** What you will do*
* Let's do this. Let's change the world. In this vital role we are looking for an analytics executive who possesses excellent communication skills. The DS Director - Marketing Investment Analytics, will play a pivotal role in providing inputs, insights, and recommendations towards shaping and implementing our marketing strategies, ensuring our products reach the right audience and have a positive impact on patients' lives.

This role will lead the team responsible for is responsible for analyzing the performance of our commercial investments across sales, online and offline channels and provides analytical support throughout the investment lifecycle including sizing, experimental test design, measurement, optimization, and scenario planning.

The lead will oversee a group of data scientists leveraging advanced statistical modeling techniques working on the development of a suite of Marketing Mix Models and Multi-Touch Attribution models to holistically measure the incremental impact that marketing has on financial outcomes and build the framework to scenario plan and optimize investments across products, channels, and time.

** This is a flex commuter/hybrid position in either Thousand Oaks, CA or Deerfield, IL offices, expected to be in office up to 3 times a week.*
* + Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Amgen's financial outcomes in the short and long term

+ Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time

+ Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Design, implement, and analyze experiments and quasi-experiments to measure the impact of new commercial initiatives

+ Accountable for measurement of spend efficiency and for recommendations on optimization of future spend across brands, tactics, channels, and audience types.

+ Collaborate with Marketing, Media, Finance and other Analytics teams to help create marketing budgets and supervise spending to ensure cost-effectiveness and improve ROI.

+ Hire, coach, mentor and lead a team of analytical leads that deliver data driven recommendations that inform commercial investment decisions

** What we expect of you*
* We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

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* Basic Qualifications:

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* Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Or

Master's degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Or

Bachelor's degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

In addition to meeting at least one of the above requirements, you must have at least 4 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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* + Ability to collaborate with senior collaborators to translate business requirements into analytical plan and effectively communicate complex ideas/solutions to influence practical decision-making.

+ Experience in pharmaceutical marketing or healthcare marketing, particularly analytics, data science and measurement roles.

+ Knowledge of the…