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# Data Scientist

- **Company:** Amgen
- **Location:** Thousand Oaks, CA, United States
- **Experience:** Expert
- **Salary:** $103,852.0 - $140,506.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Cleansing, Data Governance, Python (Programming Language), Machine Learning, Meta-Data Management, Power BI, SQL Databases, Tableau (Software), Data Management, Spotfire
- **Published:** June 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d03bddfec1ac1f72

## About the Role

Do you have experience in Stakeholder relationship building?, Do you have a Master's degree?, We are all different, yet we all use our unique contributions to serve patients. The motivated professional we seek is a solution focused problem solver with these qualifications., Master's degree
OR
Bachelor's degree and 2 years of Data Science experience
OR
Associate's degree and 6 years of Data Science experience
OR
High school diploma / GED and 8 of Data Science experience, * Experience applying data science, analytics, or statistical methods to solve business problems.

 * Experience with SQL and data analysis tools.
 * Experience creating dashboards and visualizations using Spotfire, Tableau, Power BI, or similar platforms.
 * Experience with Python, R, or related analytical programming languages.
 * Understanding of data governance, data quality, and data management principles.
 * Familiarity with AI, machine learning, or generative AI concepts and applications.
 * Strong communication and stakeholder engagement skills.
 * Experience working in cross-functional teams and Agile environments.
 * Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is preferred.

## Description

* Design and develop dashboards, reports, and visualizations using tools such as Spotfire, Tableau, Power BI, or similar platforms.
 * Support the development and deployment of data products and analytics solutions.
 * Collaborate with stakeholders to gather requirements and translate business needs into analytical approaches.
 * Perform exploratory data analysis, trend analysis, and statistical modeling to support business objectives.
 * Support AI and machine learning initiatives through data preparation, analysis, and evaluation activities.
 * Contribute to data governance, metadata management, and data quality improvement efforts.
 * Present findings and recommendations to technical and non-technical audiences.
 * Participate in Agile project teams and support delivery of digital and analytics initiatives.
 * Stay current on emerging technologies, data science methodologies, and industry best practices.


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