Cotiviti

www.cotiviti.com

1 Job

7,290 Employees

About the Company

Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States. Cotiviti's solutions increase transparency and collaboration between payers and providers while empowering them to reduce medical and administrative costs, enable better health, improve claims payment efficiency, streamline operations, drive interoperability, and advance value-based care. Its customers serve the majority of U.S. healthcare consumers, providing coverage and care for over 300 million members and patients. Additionally, Cotiviti offers data management and recovery audit services to the retail sector to improve business outcomes. For more information, visit www.cotiviti.com.

Listed Jobs

Company Name: Cotiviti
Job Title: Data Scientist I
Job Description: Data Scientist I **Role Summary:** Apply advanced analytics and machine learning to real-world healthcare challenges, improving care quality, reducing costs, and driving population health impact through data-driven insights and deployable models. Focus on practical applications over theoretical research. **Expactations:** - Apply analytical expertise to structured/unstructured healthcare data (claims, clinical records, eligibility, provider demographics). - Deliver scalable models aligned with regulatory, payer, and provider needs. - Collaborate cross-functionally with clinicians, epidemiologists, and healthcare administrators. - Translate data into actionable solutions for clinical and operational decision-making. - Support production pipeline integration and model performance monitoring. **Key Responsibilities:** - Design and implement machine learning models for quality improvement, cost containment, and risk stratification. - Develop production-ready pipelines for healthcare analytics platforms. - Conduct exploratory data analysis to validate AI/ML use cases. - Partner with stakeholders to align models with business goals. - Document methodologies for team collaboration and reproducibility. - Deploy models into operational environments and optimize performance. - Participate in cross-team projects and knowledge-sharing sessions. - Identify use cases across business units to expand analytic value. - Provide end-to-end solutions from data ingestion to model application. **Required Skills:** - Machine learning (Python, TensorFlow, PyTorch, scikit-learn, Spark). - SQL for querying relational databases. - Experience with healthcare datasets (claims, HEDIS, social determinants of health). - Big Data tools (Scala, Hive, Impala). - Cloud or big data environments. - Applied ML experience in production-scale healthcare solutions. - Cross-functional collaboration and stakeholder alignment. **Required Education & Certifications:** - Advanced degree (MS/PhD) in epidemiology, biostatistics, health informatics, data science, or related field. - 1–3 years in advanced analytics or applied machine learning. - Equivalent professional experience accepted in lieu of formal education.