Senior Data Scientist

Monogram Health

Senior Data Scientist developing machine learning models for operational and clinical use at Monogram Health. Engaging stakeholders and aligning solutions with program goals in healthcare data science.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudPySparkPythonSQL

About the role

Key responsibilities & impact

Independently develop and deploy machine learning models to support Monogram’s operational and clinical objectives.
Conduct data analyses related to model outputs or explore alternative use cases for existing models to enhance reporting and decision-making processes.
Engage with program owners to understand program goals, key performance indicators, and operational details to ensure that machine learning models are effectively aligned with program intentions.
Create and present machine learning solution proposals to program owners, aiming to secure buy-in and facilitate the implementation of data-driven solutions.
Adhere to and promote best practices in software development, data engineering, and machine learning to ensure high-quality and maintainable code.
Stay updated with the latest advancements in machine learning and data science, applying new techniques and methodologies to improve model performance and reliability.
Maintain and update deployed models, ensuring their accuracy and efficiency over time, and troubleshoot any issues that arise during deployment.

Requirements

What you’ll need

Bachelor’s degree in data science, Computer Science, Statistics, or a related field; Master’s degree preferred
Minimum of five (5) years of experience performing quantitative analyses, preferably within the healthcare claims domain, including experience using Python for machine learning model development and deployment, and SQL, Databricks & PySpark to extract and manipulate data for data engineering tasks.
Proficient in developing code and analyses following good software development practices.
Experience with version control systems (GIT), CI/CD pipelines, and test-driven development.
Familiarity with cloud computing platforms, preferably Azure, for deploying and managing data science solutions.
Proven problem-solving abilities and a proactive approach to identifying and addressing business challenges through data-driven solutions, as well as experience presenting technical concepts and models to business and executive stakeholders effectively.
Demonstrated teamwork and collaboration skills, with the ability to work effectively in cross-functional teams.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata analysisPythonSQLDatabricksPySparksoftware development practicesversion control (GIT)CI/CD pipelinestest-driven development

Soft Skills

problem-solvingproactive approachpresentation skillsteamworkcollaboration

Certifications

Bachelor’s degree in data scienceBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsMaster’s degree in related field