
Principal Data Scientist
Monogram Health
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Job Level
About the role
- Own the development and deployment of machine learning models to support operational and clinical use cases at Monogram under the guidance of more senior data scientists
- 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(s)
Requirements
- Minimum of four (4) years of experience performing quantitative analyses of healthcare claims
- Experience using Python for machine learning model development and deployment
- Proficiency in SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks
- Experience presenting to business and executive stakeholders
- Developing code and analyses following good software development practices [i.e., Version control (GIT), CI/CD principles, and test-driven development]
- Experience with Azure or other cloud computing providers preferred
Benefits
- Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts
- Financial & Retirement Support – Competitive compensation, 401k with employer match, and financial wellness resources
- Time Off & Leave – Paid holidays, flexible vacation time/PSSL, and paid parental leave
- Wellness & Growth – Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonSQLDatabricksPysparkdata engineeringversion controlCI/CDtest-driven developmentquantitative analysis
Soft Skills
presentation skillsstakeholder engagementcommunicationcollaborationproblem-solving