Data Science Senior Associate

Thousand Oaks, CA, US
Oct 28, 2020
Required Education
High School or equivalent
Position Type
Full time
Amgen is a values-based organization with a powerful sense of shared purpose toward our mission: to serve patients. Within Global Commercial Operations, we provide the capabilities, resources, and rewards of a global enterprise, while maintaining the entrepreneurialism and verve that marked our early days as a biotechnology pioneer. We encourage our team members to have fulfilling and meaningful careers through challenging assignments, career development, and valuable opportunities.

As part of a new group within Commercial Data and Analytics - Data Sciences, the Data Scientist Sr. Associate will collaborate with business partners, service owners and IS peers to define and manage a capability and technology roadmap for delivering optimized user experience for data consumers across the US Commercial Organization. This role will innovate and create significant business impact through the strategic use of technology and information. This position will help create competitive advantages for Amgen with the ultimate aim to provide clean, usable data to whomever may require it.

This position will be primarily responsible for:
  • Ensuring rapid access to new and existing data assets
  • Researching opportunities for data acquisition and new uses for existing data
  • Overseeing end to end data integration and curation including building quality into the process
  • Creating prototypes and demonstrations to better access and utilize data assets
  • Employing a variety of languages and tools (e.g. scripting languages, big data tools) to marry systems together
  • Collaborating cross-functionally with internal partners to ensure a superb user experience throughout the data integration process
  • Managing back-end data configuration
  • Creating data models and solutions architecture in collaboration with IS and external partners
  • Defining processes for managing access to data sets
  • Triaging issues and working with external partners as needed
  • Developing tools and training on data sets and access
  • Collaborating to design, construct, install, test and maintain highly scalable data management systems
  • Ensuring systems meet business requirements and industry best practices
  • Collaborating on definition and implementation of disaster recovery procedures
  • Recommending and implementing ways to improve data reliability, efficiency and quality
  • Collaborating with data architects, modelers and IT team members on project goals
  • Verbally presenting analysis ideas, progress and results to IS peers and business partners.
  • Providing high quality ongoing support; answering questions, resolving problems and building solutions.
  • Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
  • Serving as an internal consultant on commercial data and data quality management
  • Identifying, recommending and driving continuous improvement in database reporting and analysis processes

Basic Qualifications:

Master's degree


Bachelor's degree and 2 years of Data Modeling and/or Data Science and/or Mining and Information Systems experience


Associate's degree and 6 years of Data Modeling and/or Data Science and/or Mining and Information Systems experience


High school diploma / GED and 8 years of Data Modeling and/or Data Science and/or Mining and Information Systems 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
  • Programming experience
  • Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills.
  • Excellent organization/planning skills and talent for managing many large and complex datasets.
  • Ability to prototype data driven solutions to problems
  • Ability to collaborate with business partners and other IS resources to drive analytic projects end-to-end.
  • Ability to communicate analysis in a clear, precise, and actionable manner.
  • Experience working with large data sets

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

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.