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# Senior Data Scientist - Commercial AI & Analytics (Pharma)

- **Company:** ACL Digital
- **Location:** San Jose, United States (Remote available)
- **Experience:** Expert
- **Salary:** $197,600.0 - $212,160.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Clinical Data Repository, Computer Programming, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Natural Language Processing, Azure Machine Learning, Salesforce.Com, SQL Databases, Large Language Models, Prompt Engineering, Electronic Medical Records, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Databricks
- **Published:** June 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/acl-digital-senior-data-scientist-commercial-ai-analytics-pharma-oxa9apsjjl

## About the Role

* Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related field.
 * 5+ years (Master's) or 3+ years (PhD) of experience in Data Science, Machine Learning, or Advanced Analytics.
 * Strong programming skills in Python and SQL.
 * Hands-on experience with LLMs, GenAI, RAG, Prompt Engineering, and Agentic AI frameworks (LangChain, AutoGen, MCP, etc.).
 * Experience with Databricks, AWS/Azure ML, MLOps, CI/CD, and ML deployment.
 * Pharma/Life Sciences commercial analytics experience preferred.

Preferred Experience:

 * Patient journey analytics
 * HCP segmentation and targeting
 * Omnichannel marketing analytics
 * Next Best Action (NBA)
 * Multi-Touch Attribution
 * Sales force effectiveness

## Description

* We are seeking a Senior Data Scientist to join our Global Data & Digital Innovation team, supporting commercial analytics and AI initiatives within the pharmaceutical industry., * Develop and deploy predictive models for patient events, HCP targeting, and commercial insights.
 * Build and scale Next Best Action (NBA) solutions to optimize healthcare provider engagement.
 * Design and implement ML pipelines, MLOps frameworks, and GenAI-powered solutions.
 * Apply machine learning, NLP, and attribution modeling techniques to support Sales and Marketing strategies.
 * Collaborate with cross-functional teams including Sales, Marketing, Analytics, and Data Engineering.
 * Work with large healthcare datasets (Claims, EHR/EMR, CRM, Digital Engagement) while ensuring regulatory compliance.


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