Enterprise Health Data Scientist: End-to-End ML Pipelines

Getvi; Boston (MA); On-site; USD 180,000 - 230,000; Full time

Job summary

Getvi seeks an Applied Data Scientist to own 3–5 enterprise healthcare accounts, design pilots, integrate customer data, and build automated pipelines that train, score, and deliver insights on a schedule.

You will work with client teams across analytics, marketing, and clinical operations to translate business needs into Vi's platform requirements, guiding deployments from pilot to autopilot. Occasional onsite travel is expected.

Qualifications

• Ability to design defensible experiments linking model outputs to business outcomes.
• Deep understanding of data science methods and model limitations.
• Excellent ability to communicate complex results to non-technical stakeholders.

Responsibilities

• Data integration: Own the pipeline between customer data systems and Vi's data platform.
• Pilot design: Design studies that tie model performance to a business outcome.
• Automated production pipelines: Build per-customer pipelines that train, score, and deliver insights automatically.
• Customer ownership: Be the technical authority across onboarding and ongoing operations.
• Product leverage: Synthesize common patterns into platform requirements for faster deployments.

Skills

Experimental design

Model explainability

Client-facing communication

Data pipeline thinking

Ownership & accountability

Tools

Python

Pandas

scikit-learn

Airflow

PySpark

Spark

Job description

Getvi seeks an Applied Data Scientist to own 3–5 enterprise healthcare accounts, design pilots, integrate customer data, and build automated pipelines that train, score, and deliver insights on a schedule.

You will work with client teams across analytics, marketing, and clinical operations to translate business needs into Vi's platform requirements, guiding deployments from pilot to autopilot. Occasional onsite travel is expected.