Principal Data Scientist

Amgen

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Remote

Quick summary

Work type
Remote
Location
Thousand Oaks, CA
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k
$121k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $158,298–$214,500.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 65 open roles on FindRole.

Listed pay typically runs $156,190–$211,315 across 46 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

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The Principal Data Scientist joins the Operations team to design, develop, and deploy scalable AI/ML solutions and agentic systems. This role involves collaborating with multi-functional teams to implement responsible, ethical AI-driven capabilities that support strategic business objectives. Key responsibilities include architecting multi-agent systems, developing auditable MLOps pipelines, and translating emerging research into enterprise-ready applications. The position requires expertise in Python, PyTorch, TensorFlow, and scikit-learn, alongside experience with LangChain, LangGraph, LlamaIndex, and vector search. Candidates must navigate GxP-regulated biotechnology environments, ensuring compliance with global regulatory frameworks. Technical skills include SQL, Apache Spark, and cloud platforms like Databricks, AWS, or Azure. The work focuses on enhancing automation, decision-making, and operational efficiency within a digital Quality ecosystem while maintaining high standards for data integrity and model lifecycle management.

What does a Data Scientist earn in California?

Median $214500 from 134 postings across 32 companies.

See salary data

Skills

Python PyTorch TensorFlow scikit-learn LangChain LangGraph LlamaIndex SQL Apache Spark MLflow Databricks AWS Microsoft Azure Google Cloud Platform CI/CD MLOps LLMOps Retrieval-Augmented Generation Knowledge Graphs Vector Search

What you'll do

  • Design, develop, and deploy scalable AI/ML solutions and agentic systems to drive organizational efficiency.
  • Architect and deploy agent-based and multi-agent AI systems using modern frameworks and GenAI capabilities.
  • Translate emerging AI/ML techniques, specifically in agentic AI and knowledge graphs, into enterprise-ready applications.
  • Develop scalable, auditable MLOps pipelines and enforce standards for versioning, testing, monitoring, and security.
  • Embed ethical AI principles including fairness, transparency, and privacy into the design of all ML solutions.
  • Align AI initiatives with enterprise goals to ensure solutions are traceable and interoperable within the digital Quality ecosystem.
  • Manage a portfolio of AI opportunities by balancing technical experimentation with production delivery and business value.

What we're looking for

  • Doctorate degree and 2 years of Data Science, Software/ML Engineering experience.
  • Master’s degree and 4 years of Data Science, Software/ML Engineering experience.
  • Bachelor’s degree and 6 years of Data Science, Software/ML Engineering experience.
  • Associate’s degree and 10 years of Data Science, Software/ML Engineering experience.
  • High school diploma / GED and 12 years of Data Science, Software/ML Engineering experience.
  • Demonstrated success providing technical leadership for AI, machine learning, or intelligent automation products in production (preferred).
  • Experience delivering AI-enabled solutions within GxP-regulated biotechnology, pharmaceutical, healthcare, or life-sciences environments (preferred).
  • Advanced proficiency in Python and libraries such as PyTorch, TensorFlow, or scikit-learn (preferred).

Related searches

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