Healthcare Data Science Leader — ML & MLOps

Oasis Health Partners®; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

401k

Time off

Job summary

Oasis Health Partners seeks a Principal Data Scientist to lead the data and analytics function, owning predictive modeling end-to-end. You will bridge clinical strategy and technology, building data marts, ML models, and production pipelines while collaborating with executives, operations, and clinical teams.

You will design scalable ML infrastructure, drive MLOps, and advance analytics for dashboards, risk stratification, and physician engagement across the Oasis network.

Qualifications

• Minimum 8 years of healthcare analytics experience with hands-on data.
• Advanced SQL skills for complex data analysis and reporting.
• Advanced Python skills for building and productionalizing ML models.
• Experience delivering BI reports and dashboards for end users.

Responsibilities

• Own our machine learning strategy and execution.
• Build foundational infrastructure to scale ML implementations.
• Own MLOps engineering to automate, deploy, and monitor models.
• Join an Oasis workstream as the trusted analytics expert for that function.
• Build analytics data models in DBT to support underlying analytics.
• Identify additional data sources to risk-stratify patients for intervention.
• Build predictive models to identify target patient cohorts.
• Utilize AI/LLMs to advance patient and provider engagement.
• Analyze clinical data from payors and providers.
• Analyze clinical program performance and workflow data.
• Develop the analytics layer to support executive dashboards.

Skills

SQL

Python

BI reports

Dashboards

ML/AI

MLOps

Tools

AWS

DBT

Snowflake

Job description

Oasis Health Partners seeks a Principal Data Scientist to lead the data and analytics function, owning predictive modeling end-to-end. You will bridge clinical strategy and technology, building data marts, ML models, and production pipelines while collaborating with executives, operations, and clinical teams.

You will design scalable ML infrastructure, drive MLOps, and advance analytics for dashboards, risk stratification, and physician engagement across the Oasis network.