Senior Data Scientist: AI, Data Platforms & Apps

Amgen Inc.; United States; À distance; USD 134 000 - 182 000; Plein temps

Avantages offerts par ce poste

Retirement plan

Stock-based incentives

Flexible work models

Résumé du poste

Amgen is seeking a Sr Data Scientist to design, develop, and deploy data-driven products and AI-enabled solutions across clinical, manufacturing, and enterprise domains. You will build data pipelines, APIs, and dashboards while advancing Generative AI, RAG, and intelligent automation to accelerate patient outcomes and business value.

The role emphasizes collaboration with data engineering, product teams, and stakeholders, delivering scalable, robust analytics platforms within a modern cloud

Qualifications

• Strong Python development experience for applications, automation, AI, and analytics.
• Advanced SQL and large-scale data processing experience.
• Experience developing Generative AI and LLM-based applications.
• Strong stakeholder management and communication skills.

Responsabilités

• Design, develop, and maintain data-driven products and business applications.
• Create dashboards, reporting solutions, and automation tools to improve decision-making.
• Develop AI-enabled solutions including LLM, RAG, and knowledge-management copilots.
• Collaborate with data engineering, product, and enterprise teams to deliver scalable platforms.

Connaissances

Python Development

SQL

Generative AI

LLM Applications

API Development

Data Engineering

Cloud Platforms (AWS, Databricks)

Analytics & Visualization

Formation

Doctorate degree

Master’s degree + 2 years Data Scientist experience

Outils

Databricks

AWS

Python

SQL processing frameworks

Description du poste

Amgen is seeking a Sr Data Scientist to design, develop, and deploy data-driven products and AI-enabled solutions across clinical, manufacturing, and enterprise domains. You will build data pipelines, APIs, and dashboards while advancing Generative AI, RAG, and intelligent automation to accelerate patient outcomes and business value.

The role emphasizes collaboration with data engineering, product teams, and stakeholders, delivering scalable, robust analytics platforms within a modern cloud