Senior Data Scientist - AI-Driven Ops & Manufacturing

CIS International LLC; Juncos (PR); On-site; USD 100,000 - 140,000; Full time

Job summary

Amgen in Juncos, PR is seeking a Data Scientist to lead analytics initiatives across business partners, including commercial insights, manufacturing, supply chain, and IS teams. You will develop models and insights, execute end-to-end projects, and drive substantial business impact through advanced analytics.

The role emphasizes Python, SQL, and storytelling with PowerPoint, while ensuring regulatory and data privacy compliance. Strong collaboration and independent execution are essential.

Qualifications

• The education path options align with advanced analytics, statistics, and data science.
• Experience leading end-to-end analytics projects across cross-functional teams.
• Familiarity with data science, machine learning, and AI techniques.
• Understanding of GMP/documentation and regulatory considerations.

Responsibilities

• Lead data science, ML, and AI initiatives across the organization.
• Develop analytical models and end-to-end execution of projects.
• Identify business needs, propose analytical approaches, and obtain approvals.
• Build predictive models and prototypes using Python.
• Work with SQL and other DB query languages.
• Present findings clearly to stakeholders and create compelling PowerPoint stories.

Skills

Data Science

SQL/Databases

Python/R

Big Data

Biotech/Pharma

Communication

Cross-functional

Linux

Education

Doctorate or Masters + 2 years

Masters + 2 years

Bachelors + 4 years

Associates + 8 years

High school + 10 years

Engineering/related disciplines

Job description

Amgen in Juncos, PR is seeking a Data Scientist to lead analytics initiatives across business partners, including commercial insights, manufacturing, supply chain, and IS teams. You will develop models and insights, execute end-to-end projects, and drive substantial business impact through advanced analytics.

The role emphasizes Python, SQL, and storytelling with PowerPoint, while ensuring regulatory and data privacy compliance. Strong collaboration and independent execution are essential.