CDnA - Data Science Manager (Omnichannel Orchestration)

Career Category

Sales & Marketing Operations

Job Description

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. 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.

CDnA - Data Science Manager (Omnichannel Orchestration)

What you will do

Let’s do this. Let’s change the world. In this vital role as part of the Commercial Data Science team, you will collaborate with business partners, digital and omnichannel marketers, cross-functional analytics teams and IT peers to develop data-driven insights and predictive models across the US Commercial Organization. This position will innovate and build significant business impact through sophisticated analytics techniques to help Amgen with its mission to serve patients.

Flexible Commuter role to Thousand Oaks, CA OR Deerfield, IL office. You will work on-site 2-3 days a week.

• Supporting the development of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization
• Leading measurement and tracking of various omnichannel CX enablement initiatives
• Measuring the impact of cross-channel campaigns and the overall omnichannel program
• Crafting and deploying a framework to supervise performance of multiple campaigns, and tactics at a granular level
• Building high-performance algorithms, prototypes, predictive models, and proof of concepts
• Identifying business needs and proposing potential analytics approaches for solutions
• Creating prototypes and demonstrations to access and apply data assets
• Communicating analysis ideas, progress and results to leadership and business partners
• Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients

What we expect of you

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

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of data science and/or analytics experience

OR

Bachelor’s degree and 4 years of data science and/or analytics experience

OR

Associate’s degree and 8 years of data science and/or analytics experience

OR

High school diploma / GED and 10 years of data science and/or analytics experience

Preferred Qualifications:

• Relevant work experience in campaign measurement, marketing analytics and resource optimization in the commercial life sciences domain
• Lead impact assessment of field digital tools and digital campaigns using but not limited to causal/ML-based approaches
• Work with various cross-functional stakeholders on various omnichannel initiatives like field suggestions/alerts, customer journeys and other retargeting initiatives
• Diligent technical proficiency with strong logical, problem-solving, and decision-making skills.
• Excellent organization/planning skills and talent for leading large and sophisticated datasets.
• Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
• Programming experience with Python and experience with ML libraries like scikit-learn, MLib and experience working with large datasets, experience working with distributed computing tools (Spark)
• Ability to communicate analysis in a clear, detailed, and practical manner
• Passion for learning and staying on top of current developments in sophisticated analytics
• Biotech / Pharma experience

What you can expect from us

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.

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