Senior Applied AI Scientist - Healthcare Analytics

L.A. Care; Los Angeles (CA); On-site; USD 135,000 - 216,000; Full time

Benefits offered by this job

Paid Time Off (PTO)

Tuition Reimbursement

Retirement Plans

Medical, Dental and Vision

Wellness Program

Job summary

LA Care Health Plan in Los Angeles, CA seeks an Applied AI Scientist III to design, build, and deploy advanced AI/ML solutions that advance member outcomes and reduce waste. You’ll lead cross-functional teams across data, technology, and business units to deliver scalable, production-grade AI applications.

The role requires 6+ years of experience in enterprise healthcare AI, strong Python and ML tooling, and a track record of delivering end-to-end AI projects with governance and explainability.

Qualifications

• At least 6 years of professional experience developing and deploying ML/AI solutions in enterprise or healthcare environments.
• Experience leading full AI solution lifecycles from definition to deployment and monitoring.
• Proven ability to develop predictive models using structured and unstructured healthcare data.

Responsibilities

• Design, train, validate, and deploy complex AI/ML models for enterprise use cases across departments.
• Lead all phases of the AI solution lifecycle from framing to deployment.
• Build production-grade ML pipelines with MLOps practices for scalability and monitoring.
• Mentor staff on model design, documentation, and reproducibility.

Education

Master's Degree

Doctorate Degree

Tools

Python

Pandas

Scikit-learn

PySpark

Spark

MLOps

Git

Snowflake Snowpark

Azure ML

Databricks

LangChain

Job description

LA Care Health Plan in Los Angeles, CA seeks an Applied AI Scientist III to design, build, and deploy advanced AI/ML solutions that advance member outcomes and reduce waste. You’ll lead cross-functional teams across data, technology, and business units to deliver scalable, production-grade AI applications.

The role requires 6+ years of experience in enterprise healthcare AI, strong Python and ML tooling, and a track record of delivering end-to-end AI projects with governance and explainability.