Data Scientist (Manufacturing/Automation)

Location: United States; corporate headquarters in Thousand Oaks, California, with the role supporting the Amgen Ohio site in New Albany, Ohio.

Company

Amgen is a biotechnology company developing, manufacturing, and delivering medicines across oncology, inflammation, general medicine, and rare disease.

What you will do

• Develop and maintain real-time and summary reports, dashboards, and data products for manufacturing and site leadership.
• Define performance metrics across safety, quality, manufacturing, supply chain, and operations.
• Extract, integrate, and analyze data from SAP, MES, LIMS, PI Data Historian, and IIoT platforms.
• Build reusable data pipelines with Databricks, SQL, Python, and enterprise data platforms.
• Apply statistical analysis, simulation, machine learning, predictive maintenance, computer vision, and SmartVision model maintenance to operational challenges.
• Support IIoT capabilities, Digital Control Tower enhancements, requirements gathering, user acceptance testing, deployment, and continuous improvement.

Requirements

• Master’s degree in data science, statistics, applied mathematics, business analytics, engineering, computer science, or a related field; alternative education and experience pathways are accepted.
• Strong hands-on experience with Python and SQL.
• Experience with Databricks or similar cloud data and analytics platforms.
• Experience building data pipelines, integrating operational or enterprise data, and developing reports, dashboards, analytical tools, or data products.
• Experience with statistical analysis, machine learning, or predictive modeling.
• Ability to solve problems, manage stakeholders, communicate clearly, and work across multiple functions in a matrixed environment.

Nice to have

• Experience with large-scale data lakes, lakehouses, or data fabrics.
• Familiarity with IIoT, time-series data, predictive maintenance, computer vision, manufacturing analytics, Generative AI, or emerging AI technologies.
• Manufacturing, biopharmaceutical, engineering, operations, or supply chain experience.
• Understanding of version control, testing, documentation, and software engineering practices.

Culture & Benefits

• Collaborative, innovative, science-based work environment.
• Health, dental, vision, life, disability, and flexible spending benefits.
• Retirement and savings plan with company contributions.
• Annual bonus program, stock-based long-term incentives, and award-winning time-off plans.
• Career development opportunities and flexible work models where applicable.

Hiring process

• Sponsorship for the role is not guaranteed.
• Reasonable accommodations are available during the application and interview process.