Job Specifications
Overview
Cotiviti is seeking a mission-driven Data Scientist with a strong foundation in healthcare analytics and/or epidemiology to join our innovation team and help transform the future of healthcare delivery. This role is ideal for professionals who are passionate about applying advanced analytics and machine learning to real-world healthcare challenges--improving outcomes, reducing costs, and driving population health impact.
Rather than focusing on theoretical research, this position is designed for those who want to apply data science to real-world healthcare workflows and deploy models that directly impact patient care and operational efficiency. You'll work with large-scale structured and unstructured healthcare data--including claims, eligibility, provider demographics, and clinical records--to uncover insights that inform care quality, utilization, and health equity.
As a Data Scientist at Cotiviti, you will collaborate closely with a multidisciplinary team of clinicians, epidemiologists, coding experts, and healthcare administrators. Together, you'll define measurable goals, build scalable models, and deliver actionable solutions that support value-based care and public health priorities .
Responsibilities
Design and implement traditional advanced analytics as well as machine learning models that support healthcare quality improvement, cost containment, and risk stratification.
Translate traditional healthcare datasets, administrative data and third-party datasets into insights that inform clinical and operational decision-making.
Partner with internal stakeholders and business owners to ensure models are aligned with regulatory, payer, and provider needs.
Contribute to the development of production-ready pipelines that integrate seamlessly into Cotiviti's analytics platforms.
Create actionable and pragmatic data science methodologies and action plans for review so models can be developed with minimal supervision.
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on the work planned or completed.
Understands business needs and identifies potential use cases in more than one business unit.
Consistently collaborates with fellow data scientists and frequently interacts with business partners to build analytic capabilities and drive business value.
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases.
Work with production operations to deploy your model into production and support them in monitoring model performance.
Participate in other data science teams collaborating with your peers to support their projects
Participate in knowledge sharing sessions to bring new insights and technologies to the team.
Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
Complete all responsibilities outlined in the annual performance review and/or goal setting.
Complete all special projects and other duties as assigned.
Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and the requirements of the job.
Qualifications
Advanced degree (MS or PhD) in Epidemiology, Biostatistics, Health Informatics, MHA, Data Science or a related field or commensurate professional work experience.
1-3 years of experience in advanced analytics in Cloud, Big Data and traditional environments.
Experience working with healthcare datasets (e.g., claims, HEDIS, risk adjustment, social determinants of health).
Strong understanding of healthcare delivery systems, population health frameworks, and quality metrics.
Demonstrated ability to work in cross-functional teams and deliver measurable business impact.
Experience developing machine learning models in an exploratory data analytics environment and working with others to develop production-ready versions of the models that are deployed within operational environments.
Experience in using machine learning tools to develop production strength models, including, but not limited to, Python, TensorFlow, Keraes, pandas, numpy, scikit-learn, Spark, Scala, Hive, Impala.
Significant experience with SQL, ability to write SQL queries to efficiently extract data from relational databases.
Applied Machine Learning: Application of a variety of machine learning techniques to increase identification of payment integrity issues for our clients, reduce the cost of auditing processes or increase the quality of care and outcomes. Must have implemented machine learning solutions within production environments at scale.
Big Data Analysis: Strong ability to manage and an
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 o...
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