Principal Data Scientist

oasishealthpartners; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with generous PTO

Onboarding and professional dev

Job summary

oasishealthpartners is seeking a senior analytics leader to own the ML strategy for a value-based care organization serving Medicare populations. The role blends data-mart design, production deployment, and collaboration with executives to measure impact on patient outcomes.

You will build ML infrastructure, MLOps pipelines, and DBT-based data models to power executive dashboards and operations reporting, while aligning with clinical and finance teams.

Qualifications

• 8+ years of healthcare analytics experience with hands-on work in clinical and claims data.
• Advanced SQL and Python for building and productionizing models.
• Experience developing BI reports and dashboards for non-technical end users.
• Background in DBT, AWS, and Snowflake or comparable modern data stack tooling.
• Strong communication skills and ability to operate in a fast-moving startup environment.
• Proven ability to manage multiple projects and priorities across technical and clinical teams.

Responsibilities

• Define and execute the ML roadmap from model development to deployment and maintenance.
• Build foundational ML infrastructure and MLOps pipelines that automate, monitor, and scale model creation.
• Develop analytics data models in DBT to support executive dashboards and operational reporting.
• Join a functional workstream as the embedded analytics expert, partnering with clinical, operations, finance, and product teams.
• Identify new data sources to risk-stratify patient cohorts and evaluate intervention impact.
• Apply AI and large language models to improve patient and provider engagement, and analyze payer, provider, and operational data sets.

Skills

SQL

Python

BI dashboards

MLOps

Communication

Healthcare analytics

Stakeholder mgmt

Tools

DBT

AWS

Snowflake

Job description

Role overview

A senior individual-contributor role responsible for building the predictive analytics backbone of a value-based care organization serving Medicare populations. The position owns machine learning strategy end to end, from data-mart design through production deployment, and pairs with executive, clinical, and operations leaders to measure program impact and patient outcomes.

Responsibilities

• Define and execute the machine learning roadmap, including model development, deployment, and ongoing maintenance.
• Build foundational ML infrastructure and MLOps pipelines that automate, monitor, and scale model creation.
• Develop analytics data models in DBT to support executive dashboards and operational reporting.
• Join a functional workstream as the embedded analytics expert, partnering with clinical, operations, finance, and product teams.
• Identify new data sources to risk-stratify patient cohorts and evaluate clinical intervention impact.
• Apply AI and large language models to improve patient and provider engagement, and analyze payor, provider, and operational data sets.

Requirements

• At least 8 years of healthcare analytics experience with hands-on work in real-world clinical and claims data.
• Advanced SQL for complex analysis and reporting, plus advanced Python for building and productionalizing models.
• Demonstrated experience developing BI reports and dashboards for non-technical end users.
• Background in DBT, AWS, and Snowflake, or comparable modern data stack tooling.
• Strong communication skills and the ability to operate effectively in a fast-moving, ambiguous startup environment.
• Proven ability to manage multiple projects and priorities while collaborating across technical and clinical teams.

Nice to have

• Prior experience at a health plan or managed services organization.
• Familiarity with Medicare Advantage populations and value-based care delivery models.

Benefits and work setup

• Medical, dental, vision, 401(k), and generous paid time off.
• Structured onboarding and ongoing professional development support.
• Visa sponsorship is not available; candidates must be authorized to work in the United States.