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Amgen Data Science - Senior Manager (US-Remote) in Thousand Oaks, California


If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Data Science - Senior Manager


What you will do

Let’s do this. Let’s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive and prescriptive models and insights across the US Commercial Organization. This position will innovate and build notable business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need.

  • Development of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization

  • Partner with cross functional teams on projects and/or programs with strive to systematically derive insights that ultimately derive substantial business value for Amgen and our patients

  • Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python or R

  • Identifying business needs and proposing potential analytics approaches for solutions

  • Crafting prototypes and demonstrations to access and apply data assets

  • Communicating analysis ideas, progress and results to leadership and business partners

  • Ensuring systems meet business requirements and industry standard methodologies

  • Assuring compliance with regulatory, security, and privacy requirements as it relates to data


What we expect of you

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

Basic Qualifications:

Doctorate degree and 2 years of data science and/or analytics experience


Master’s degree and 6 years of data science and/or analytics experience


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


Associate’s degree and 10 years of data science and/or analytics experience


High school diploma / GED and 12 years of data science and/or analytics experience

Preferred Qualifications:

  • Master’s degree in Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research

  • 3+ years of relevant work experience

  • Experience with databases including relational, NoSQL, and Graph

  • Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow

  • Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment; you can stand up web applications; documentation, version control, and code review is in your blood

  • Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)

  • Meticulous technical proficiency with strong logical, problem solving, and decision-making skills.

  • Excellent organization/planning skills and talent for managing many large and complex datasets.

  • Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end

  • Ability to communicate analysis in a clear, precise, and actionable manner

  • Passion for learning and staying on top of current developments in advanced analytics

  • Biotech / Pharma experience

  • CPG Experience

  • Marketing Mix or MTA experience


What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

  • Vast opportunities to learn and move up and across our global organization

  • Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act

  • Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

Join Us

If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Amgen requires all staff in the United States, Puerto Rico and Canada to be vaccinated from COVID 19 as a condition of employment. In accordance with applicable law, Amgen will provide reasonable accommodations to staff members who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Amgen, its operations, or its staff.