Data Scientist – Value-Based Care Analytics

Company Description +MEDRITE Urgent Care, founded in 2010 in Brooklyn, NY, is one of the fastest-growing healthcare organizations in the United States. The company provides convenient, walk-in urgent care for people of all ages as an alternative to crowded emergency rooms and delayed primary care appointments.

Patients can see board-certified physicians without referrals or appointments for services including testing and vaccinations, injury and illness care, pediatrics, orthopedics, x-rays, and more. +MEDRITE is committed to a personalized doctor-patient relationship, a first-class experience, and high-quality centers where fast care and better outcomes are central promises.

The organization continues to expand, bringing health and wellness to every community it serves.

Role Description The Data Scientist – Value-Based Care Analytics is a full-time, on-site role based in New York, NY. This role focuses on analyzing clinical, operational, and financial data to support value-based care initiatives, including improving patient outcomes, reducing unnecessary utilization, and optimizing reimbursement models.

The Data Scientist will build and maintain analytics pipelines, develop predictive and prescriptive models, and create dashboards and reports to inform leadership decisions. Day-to-day responsibilities include collaborating with clinical, operations, and finance teams to define analytical questions, cleaning and validating data from multiple sources, and translating findings into actionable recommendations.

The role also involves monitoring key performance indicators, supporting quality improvement projects, and contributing to the design of data-driven strategies that enhance care delivery across +MEDRITE centers.

Qualifications

• Strong foundation in Data Science and Statistics, with the ability to apply quantitative methods to healthcare and value-based care problems.
• Proficiency in Data Analytics and Data Analysis for working with large, complex datasets and generating meaningful insights.
• Experience with Data Visualization tools and techniques to build clear, informative dashboards and reports for non-technical stakeholders.
• Hands-on experience with programming languages commonly used in analytics (e.g., Python, R, SQL) and familiarity with data warehousing concepts.
• Background in healthcare analytics, population health, or value-based care models (e.g., risk adjustment, quality metrics, cost-of-care analysis) is highly beneficial.
• Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Public Health, Health Informatics, or a related discipline.
• Ability to communicate complex analytical findings in a clear, concise, and actionable manner to diverse stakeholders.
• Demonstrated problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced, patient-centered environment.