Data Scientist
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Data Engineering
Job Description & How to Apply Below
Responsibilities
- Join Amgen's Transformative Digital Capabilities organization within Process Development.
- Partner with scientists, engineers, business stakeholders, and technology teams.
- Drive data-informed decision making through analytics, visualization, data product development, and AI-enabled solutions.
- Contribute to data strategy, data accessibility, process optimization, digital products, and advanced analytics.
- 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.
- Present findings and recommendations to technical and non-technical audiences.
- Participate in Agile project teams and support delivery of digital and analytics initiatives.
- 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.
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