Build analytic solutions and machine learning models (e.g. classification, ranking) to optimize Utilization Management in healthcare and translate business logic or healthcare workflow into data-driven decisions
Develop data structures and processing pipelines to organize, collect, and standardize insights from both unstructured data (PDFs, texts, images) and structured data, to address both reporting needs and feature development
Explore and build LLM-powered pipelines and evaluate performance based on real-world feedback
Create and evaluates the data needs of assigned projects and assures the integrity of the data
Explore existing data and recommends additional sources of data for improvements
Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics

Requirements

2+ years of experience in data science and machine learning
2+ years of experience in SQL
1+ year experience programming using Python (pandas, scikit-learn, PyTorch, etc.)
1+ year of business experience leading analyses and initiatives with track record of business impact using data driven insights
Experience with Google Cloud Platform, big query, and other cloud-based tools (preferred)
Experience with delivering machine learning models end-to-end (preferred)
Experience with building AI solutions on multi-modal data and experiences with RAG, embeddings, or prompt engineering (preferred)
Exposure to model deployment (APIs, cloud platforms) and LLM packages such as LangChain, LangGraph, Langfuse (preferred)
Strong written and verbal communication skills

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningSQLPythonpandasscikit-learnPyTorchdata structuresprocessing pipelinesmodel deployment

Soft Skills

communicationleadershipanalytical thinkingbusiness impact