Design and develop data products and machine learning models embedded within client-facing platforms and applications.
Operationalize analytics by integrating models, algorithms, and data pipelines into production systems and workflow-driven applications.
Work with large-scale healthcare datasets (e.g., claims, EMR, and external data sources) to enable scalable insight delivery within platforms.
Build and validate predictive, descriptive, and segmentation models that support decision systems across commercial, market access, and medical use cases.
Contribute to development of AI/ML-enabled applications, including GenAI, RAG pipelines, and agent-based workflows, ensuring outputs are scalable, traceable, and production-ready.
Collaborate with engineers and architects to deploy models via APIs, microservices, and cloud-based environments.
Develop modular, reusable code, data pipelines, and feature libraries that can be leveraged across multiple solutions.
Translate complex analytical logic into clear, user-facing outputs within applications, dashboards, and automated workflows.
Ensure data quality, model performance, and governance standards across deployed solutions.
Contribute to innovation and development of next-generation data products and analytics capabilities across the technology portfolio.
Requirements
Master’s degree or PhD in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
8+ years of experience developing and deploying AI/machine learning solutions in production environments
Strong experience working with large-scale healthcare or life sciences datasets (e.g., claims, EMR, or similar)
Proficiency in Python and/or R, with strong SQL skills and experience building data pipelines
Experience deploying models within cloud environments (Azure, AWS, or GCP)
Familiarity with API-based model deployment and scalable system integration
Strong problem-solving and communication skills, with the ability to operate in cross-functional teams.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Microservices
Python
SQL
Benefits
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)