AmeriHealth CaritasRemote
Healthcare Enterprise Analytics Data Scientist Senior
United States of America
Full Time
1 month ago
H1B Sponsor Likely
Key skills
Data ScienceMachine LearningArtificial IntelligencePythonRSQLML Libraries - scikit-learnML Libraries - TensorFlowML Libraries - PyTorchML Libraries - XGBoostCloud Platforms - AzureDatabricksHealthcare Data Standards - ICDHealthcare Data Standards - CPTHealthcare Data Standards - HL7Healthcare Data Standards - FHIRDistributed Computing Frameworks - SparkHealthcare Data AnalysisAIMLPyTorchTensorFlowscikit-learnMLOpsXGBoostAnalyticsSparkStatistical AnalysisAzure
About this role
AmeriHealth Caritas is a mission-driven organization focused on delivering comprehensive healthcare solutions. They are seeking a Senior Healthcare Enterprise Analytics Data Scientist to drive data-driven innovation in healthcare through advanced analytics and machine learning, collaborating with cross-functional teams to improve member outcomes and support population health management.
Responsibilities:
- Design, develop, and deploy machine learning and AI models to support healthcare use cases such as risk prediction, care management, disease progression, and utilization forecasting
- Perform data exploration, wrangling, and advanced statistical analysis using structured and unstructured healthcare data (e.g., claims, EMR, SDoH, labs)
- Collaborate with data engineers and MLOps teams to operate models in a scalable and maintainable environment
- Partner with clinical and business stakeholders to understand needs and translate them into technical solutions
- Evaluate model performance using appropriate metrics and ensure model fairness, transparency, and regulatory compliance
- Contribute to the design and enhancement of AI pipelines and reusable components
- Develop dashboards and data visualizations to communicate results and support decision-making
- Stay current on the latest AI/ML technologies, healthcare trends, and research, and apply them to solve emerging challenges
Requirements:
- Master's degree in Data Science, Computer Science, Statistics, Biomedical Informatics, or a related field
- At least five (5)+ years of hands-on experience in data science in a healthcare setting
- Strong knowledge of Python, R, SQL, and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost)
- Experience with cloud platforms (e.g., Azure) and tools like Databricks
- Understanding of healthcare data types and standards (e.g., ICD, CPT, HL7, FHIR)
- Experience working with large datasets and distributed computing frameworks (e.g., Spark)
- PhD in Data Science, Computer Science, Statistics, Biomedical Informatics, or a related field