Data Scientist Jobs

About The Position

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.

Nice To Haves

• Experience with GenAI, LLMs, RAG pipelines, or agent-based systems.
• Familiarity with healthcare data models, payer/provider structures, and life sciences use cases.
• Experience building reusable data products or analytics-enabled applications.
• Exposure to MLOps practices, model monitoring, and lifecycle management.
• Consulting or client-facing experience in life sciences or healthcare technology.

Responsibilities

• 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.

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.)