This role pays more than
63%
of similar roles. Most pay
$173,200–$259,111
— the shaded band above.
At the midpoint, this role pays about
$229k
versus about
$216k
for comparable roles.
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
46 open roles
on FindRole.
Listed pay typically runs
$136,906–$184,235
across 44 roles with salary data.
Associate Director, Commercial Data Science leads a team of data scientists to define and execute the Commercial AI and Advanced Analytics strategy across multiple business units. This leadership role involves managing a portfolio of initiatives including machine learning, generative AI, predictive modeling, customer targeting, next-best-action, causal inference, and optimization. The successful candidate will translate complex business challenges into scalable data products while fostering technical standards, model governance, and ethical AI practices. Key competencies include expertise in MLOps, production deployment, and the ability to communicate complex analytical concepts to executive stakeholders. Technical proficiency with platforms like Databricks, AWS, or Azure is required, along with familiarity with Python, R, Scala, or Java. The role addresses the challenge of improving commercial performance and patient access to therapies through advanced analytics in the pharmaceutical sector.
Remote (Thousand Oaks, CA)39 days ago
$171,556–$232,105
Databricks
Python
SQL
Apache Spark
AWS
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Machine Learning
Agile
SAFe
Data Engineering
Analytics
Business Intelligence
Generative AI
Large Language Models
Agentic AI
MLOps
AIOps
Data Engineering
Snowflake
Databricks
Azure
AWS
Cloud Infrastructure
Data Architecture
Semantic Modeling
Common Data Model
Data Governance
Snowflake
Data Strategy
Data Governance
Metadata Management
Business Intelligence
Data Product Management
UAT
AI
Cloud Data Platforms
Data Quality
Source-to-Target Mapping
Analytics Enablement
Machine Learning
Artificial Intelligence
Python
R
scikit-learn
PyTorch
Keras
Data Science
Statistics
SQL
Pandas
Deep Learning
Time Series Analysis
Data Visualization
Exploratory Data Analysis
Version Control
GenAI
NLP
Biostatistics