Senior Data Scientist – Pharma Analytics & Data Engineering

Biopharma Careers; Thousand Oaks (CA); On-site; USD 134,000 - 182,000; Full time

Job summary

Amgen in Thousand Oaks, CA, is seeking a Sr Data Scientist to design, build, and deploy scalable data products, dashboards, analytic models, and cloud-based data solutions for operational visibility and decision-making.

The role partners with External Supply, manufacturing, finance, and IT to translate business needs into governed data solutions. Advanced analytics, data governance, and scalable data architecture are core priorities, in a regulated pharmaceutical environment.

Qualifications

• Doctorate or equivalent combinations listed under Basic Qualifications.
• Experience in pharmaceutical, biotechnology, life sciences, or regulated environments.
• Strong Python, SQL, dashboards, and cloud data platforms experience.

Responsibilities

• Design, build, and maintain data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud-based data platforms.
• Develop dashboards and visual analytics to monitor External Supply performance, manufacturing status, inventory, supply risk, supplier performance, procurement activity, and operational trends.
• Apply statistical, analytical, and data science methods to identify patterns, generate insights, support scenario analysis, and improve business decision-making.
• Partner with External Supply stakeholders to define requirements, clarify business problems, identify data sources, and deliver fit-for-purpose digital solutions.
• Integrate and analyze structured and non-structured data from ERP, supply planning, procurement, manufacturing, quality, finance, and external partner data sources.
• Automate recurring reports and manual analyses to improve efficiency, data accessibility, and consistency.
• Collaborate with IT and business teams to design scalable, maintainable data architecture.
• Support data governance, data quality, documentation, and validation practices in a regulated environment.
• Communicate analytical findings and recommendations clearly to technical and non-technical audiences.
• Promote best practices for code development, dashboards, data management, and analytics lifecycle.

Skills

Python

SQL

Tableau/Power BI

Cloud data platforms

ETL/ELT pipelines

Data governance

Data modeling

Statistical analysis

Communication skills

Education

Doctorate degree

Master’s degree + 2 years of Data Scientist experience

Bachelor’s degree + 4 years of Data Scientist experience

Associate’s degree + 8 years of Data Scientist experience

High school diploma / GED + 10 years of Data Scientist experience

Tools

Databricks

AWS

Azure

Google Cloud

Tableau

Power BI

SAP

Job description

Amgen in Thousand Oaks, CA, is seeking a Sr Data Scientist to design, build, and deploy scalable data products, dashboards, analytic models, and cloud-based data solutions for operational visibility and decision-making.

The role partners with External Supply, manufacturing, finance, and IT to translate business needs into governed data solutions. Advanced analytics, data governance, and scalable data architecture are core priorities, in a regulated pharmaceutical environment.