Senior Data Scientist

Monogram Health • Brentwood, TN

15h

About The Position

The Senior Data Scientist will be responsible for owning the development and deployment of machine learning models to support operational and clinical use cases at Monogram. This work will be carried out with minimal supervision, contributing to the advancement of Monogram’s data science initiatives. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will utilize a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. This position will report to the VP, Data Science with future direct reporting to the Director, Data Science.

Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, or a related field
• 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.

Nice To Haves

• Master’s degree preferred

Responsibilities

• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level