Cano Health

Senior Data Scientist

Cano Health, Miami

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Job Summary
As a Senior Data Scientist , you will play a pivotal role in shaping the future of patient-centric, outcome-driven healthcare. You will leverage advanced analytics, machine learning, and statistical modeling to transform complex healthcare data into actionable insights that improve clinical outcomes, reduce costs, and optimize population health strategies. You’ll work with a variety of data types—from claims and EHRs to social determinants of health—to support risk stratification, care gap closure, quality improvement, and predictive modeling for VBC programs and risk-sharing arrangements.
Essential Duties & Responsibilities

Analyze and interpret large volumes of healthcare data (structured and unstructured), including claims, clinical, operational, and patient-reported data to generate actionable insights.
Develop and validate predictive and prescriptive models that support care management, population health, utilization forecasting, and performance in value-based contracts (e.g., ACOs, Medicare Advantage, MSSP, commercial risk).
Perform advanced feature engineering and exploratory data analysis to identify risk drivers, trends, and opportunities for intervention.
Partner with clinicians, care managers, and business leaders to define problems, interpret findings, and implement data-driven strategies that align with quality and cost targets.
Build and deploy risk stratification algorithms, such as models for predicting hospital readmissions, emergency department utilization, gaps in care, or progression of chronic conditions.
Create compelling data visualizations, dashboards, and storytelling tools that communicate complex information to clinical and non-technical audiences.
Design and automate continuous model evaluation frameworks to ensure the long-term relevance and fairness of models across diverse patient populations.
Collaborate with product, engineering, and IT teams to ensure clean, scalable, and reproducible analytics pipelines using modern tools and cloud platforms.
Contribute to the refinement of data governance, quality frameworks, and responsible AI practices within a healthcare setting.
Stay informed about CMS guidelines, HEDIS, STAR Ratings, and industry trends that influence the value-based care landscape.

Supervisory Responsibilities

No supervisory responsibilites.

Education & Experience

8+ years of experience in advanced analytics, statistical modeling, or data science, ideally within a healthcare or payer/provider context.
Proven experience with supervised (e.g., logistic regression, gradient boosting, neural networks) and unsupervised techniques (e.g., clustering, PCA) applied to healthcare use cases.
Strong SQL and Python skills with hands-on experience in healthcare data sources such as claims, EHRs, labs, pharmacy, or care management platforms.
Experience supporting Accountable Care Organizations (ACOs), Medicare Advantage plans, or Medicaid managed care.
Master’s degree in statistics, mathematics, computer science, health informatics, or a related quantitative field is preferred.
Deep understanding of risk adjustment methodologies (e.g., CMS-HCC), quality measures (e.g., HEDIS, CAHPS), and social determinants of health.
Experience developing Power BI dashboards integrated with healthcare databases or population health tools to support executive-level reporting.

Education Requirements
Education Level
Discipline
Required
Bachelors Degree
In statistics, mathematics, computer science, health informatics, or a related quantitative field.
Knowledge, Skills & Proficiencies

Knowledge of value-based care KPIs such as total cost of care, utilization metrics, quality bonus programs, or shared savings.
Familiarity with healthcare regulatory and compliance frameworks (e.g., HIPAA).
Strong interpersonal and communication skills to translate technical results into operational strategies for diverse stakeholders including clinicians, executives, and payers.
Experience supporting Accountable Care Organizations (ACOs), Medicare Advantage plans, or Medicaid managed care.
Background in epidemiology, clinical decision support, or public health analytics.

Physical Requirements
This position works under usual office conditions. The employee is required to work at a personal computer as well as be on the phone for extended periods of time. Must be able to stand, sit, walk and occasionally climb. The incumbent must be able to work extended and flexible hours and weekends as needed. Physical demands include ability to lift up to 50 lbs. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Work Conditions
Must be able to perform essential functions such as typing, standing, sitting, stooping, and occasionally climbing.
Travel Requirements
Amount of Expected Travel
Details
No
Tools & Equipment Used
Computer and peripherals, standard and customized software applications and tools, and usual office equipment.
Disclaimer
The duties and responsibilities described above are designed to indicate the general nature and level of work performed by associates within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of associates assigned to this job. This is not an all-inclusive job description; therefore, management has the right to assign or reassign schedules, duties, and responsibilities to this job at any time. Cano Health is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Hospitals and Health Care

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