Senior Data Scientist
Monogram Health
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- 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
- 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
- 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 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