Under guidance of more senior data scientists, own the development and deployment of machine learning models to support operational and clinical use cases at Monogram
Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes)
Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent
Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy—in to proposed solution

Requirements

4+ years previous experience performing quantitative analyses of healthcare claims
2+ years experience using Python for machine learning model development and deployment
2+ years experience using SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks
2+ years experience presenting to business and executive stakeholders
2+ years of experience developing code and analyses following good software development practices
Version control (GIT)
CI/CD principles
Test-driven development
Experience with Azure or other cloud computing providers preferred

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonSQLDatabricksPysparkdata engineeringsoftware development practicesversion controlCI/CDtest-driven development

Soft Skills

quantitative analysispresentation skillsstakeholder engagementcommunicationcollaboration