Sr. Data Scientist - Process Modeling

Responsibilities

• Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies
• Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network
• Change management to integrate tech transfer digital applications into product teams
• Development of data products to enable FAIR data for tech transfer/NPI
• Enable AI Agentic workflows for DST modeling assets
• Collaborate with digital product teams to build and integrate modeling assets into business processes for DST
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products
• Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholders
• Contribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science

Qualifications

• Doctorate degree
• OR Masters degree and 2 years of Data Science or Engineering experience
• OR Bachelors degree and 4 years of Data Science or Engineering experience
• OR Associates degree and 8 years of Data Science or Engineering experience
• OR High School diploma or GED and 10 years of Data Science or Engineering experience