CINQCARE is redefining how health and care are delivered, starting where trust begins: the community. The Senior Healthcare Data Scientist will be a key member of the Analytics & AI team, responsible for designing and delivering advanced machine learning and analytics solutions that directly inform CINQCARE’s personalized care programs and outreach.
Requirements
- Strong expertise in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch).
- Experience with NLP, time series modeling, and advanced MLOps practices.
- Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
- Proficiency with visualization tools (Tableau, Power BI, Plotly, Dash).
- Demonstrated ability to design, deploy, and manage predictive models in production.
Responsibilities
- Design, curate, and maintain analytical datasets by integrating EHRs, claims, engagement data (e.g., Salesforce Health Cloud), third-party SDOH sources, and commercial data (e.g., Neustar, Acxiom).
- Build, evaluate, and manage predictive models (classification, regression, NLP, time series, survival analysis, agentic modeling) to stratify risk, improve targeting, and predict engagement.
- Manage the full model lifecycle — from development through deployment, monitoring, retraining, and drift detection — ensuring production reliability.
- Apply fairness, bias mitigation, and explainability frameworks to ensure models are equitable and trustworthy.
- Use What-If scenario modeling and simulations to support clinical and business decision-making.
- Integrate engagement data into continuous feedback loops that refine model performance and responsiveness.
- Partner with engineering teams for scalable deployment using modern MLOps practices.
Other
- Master’s or PhD in Data Science, Statistics, Computer Science, Economics, or related quantitative field; Bachelor’s with significant applied experience considered.
- Minimum 7 years of applied data science experience, ideally in healthcare, public health, insurance, or digital health.
- Exceptional communication and data storytelling skills for technical and non-technical stakeholders.
- Purpose-driven mindset with demonstrated ownership, accountability, and ability to thrive in collaborative, cross-functional teams.
- This is a remote position.
