Senior Data Scientist - Impactful Pharma Analytics Flexible

Amgen; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Stock-based incentives

Retirement plan

Discretionary bonus program

Flexible work models

Job summary

Amgen is seeking a Sr Data Scientist to design and deploy scalable data products and dashboards across External Supply, manufacturing, and finance. You will work with data engineers, IT, and business partners to translate needs into trusted data solutions in a regulated pharmaceutical environment.

The role emphasizes advanced analytics, cloud data platforms, data governance, and cross-functional collaboration to improve operational visibility and decision-making.

Qualifications

• PhD or extensive experience in data science in pharma or regulated environments.
• Strong Python, SQL, and data visualization skills required.
• Experience with cloud data platforms and data governance essential.

Responsibilities

• Design, build, and maintain scalable data pipelines and datasets.
• Develop dashboards to monitor supply chain, manufacturing, and procurement.
• Apply analytics and ML methods to support decisions and scenarios.
• Collaborate with stakeholders to translate needs into solutions.
• Ensure data quality, governance, and documentation in regulated setting.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Python

SQL

Tableau/Power BI

Cloud data platforms

ETL/ELT pipelines

Data modeling

Data governance

ML/Forecasting

Communication

Education

PhD in a relevant field

Master's degree in data science/related

Bachelor's degree

Associate's degree + 8 years of data science experience

High school diploma / GED + 10 years experience

Tools

Databricks

AWS

Azure

Google Cloud

SAP / MES / LIMS / Veeva

Git / CI/CD

Job description

Amgen is seeking a Sr Data Scientist to design and deploy scalable data products and dashboards across External Supply, manufacturing, and finance. You will work with data engineers, IT, and business partners to translate needs into trusted data solutions in a regulated pharmaceutical environment.

The role emphasizes advanced analytics, cloud data platforms, data governance, and cross-functional collaboration to improve operational visibility and decision-making.