Amgen Data Sciences Sr. Associate in Thousand Oaks, California

As part of a new group within Commercial information Management 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 stakeholders 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 & 2 years of Data Modeling/ Mining and Information Systems experience


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


High school diploma/GED & 8 years of Data Modeling/ 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 including relational, NoSQL, Graph and frameworks to access the data (ORM, dataframes)

  • Programming experience with Ruby, Python, SAS, R or statistical software (SPSS and Matlab)

  • 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, experience working with distributed computing tools (Spark, HBase, Hive, Redshift, Databricks, etc.)

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.