Principal Data Scientist

Oasis Health Partners•Chicago, IL

17h

About The Position

Oasis Health Partners is seeking a Principal Data Scientist to build a world-class data science function. This role will focus on improving patient outcomes through data, machine learning/AI, and operational execution. The Principal Data Scientist will be responsible for developing, deploying, and maintaining data marts and machine learning models, as well as assessing the impact of clinical interventions. The ideal candidate is a collaborative leader with extensive experience in health plan and clinical data, proficient in DBT for data mart creation and machine learning model development. Oasis Health Partners supports independent primary care practices in Medicare value-based care programs, providing data, tools, and teams to enhance care delivery and build sustainable businesses.

Requirements

Minimum 8 years of experience in healthcare analytics with hands-on expertise in real-world data
Advanced SQL skills for complex data analysis and reporting
Advanced Python skills for building and productionalizing machine learning models
Experience in developing impactful BI reports and dashboards for end-users
Quick learner with a demonstrated ability to adapt to new technologies
Comfortable working in the ambiguity and rapid change of a startup environment
Excellent communication skills for effective collaboration with technical and non-technical teams, including operational and clinical teams
Ability to manage and prioritize multiple tasks and projects effectively
Must be authorized to work in the United States without a current or future visa sponsorship
Must be currently residing in the United States

Nice To Haves

Previous experience at a health plan or Managed Service Organization
Familiarity with Medicare Advantage populations and their unique healthcare needs
Background in value-based care organizations
Experience with the Oasis data stack, including AWS, DBT, and Snowflake

Responsibilities

Own our machine learning strategy and execution
Build foundational infrastructure that will allow Oasis to scale its ML implementations
Own MLOps Engineering – be able to automate, deploy, and monitor ML models
Join an Oasis “workstream” and become the trusted analytics expert for that function
Build analytics data models in DBT to support underlying analytics
Identify additional sources of data we can use to identify / risk stratify patients for intervention, and understand the impact of our program
Build out predictive models to identify target patient cohorts
Utilize AI/LLMs to advance patient and provider engagement
Analyze clinical data we receive from payors and providers
Analyze clinical program performance
Analyze workflow and operational data
Develop the analytics layer to support executive and operational dashboards