Cotiviti is seeking a mission-driven Data Scientist with a strong foundation in healthcare analytics and/or epidemiology to join their innovation team and help transform the future of healthcare delivery by applying advanced analytics and machine learning to real-world healthcare challenges—improving outcomes, reducing costs, and driving population health impact.
Requirements
- 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).
- 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 analyze data in a Big Data environment using a variety of scripts, potentially including but not limited to Scala/Spark and Python as well as cloud-based ML/AI capabilities.
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.
- 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.
- 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.
- Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
Other
- Advanced degree (MS or PhD) in Epidemiology, Biostatistics, Health Informatics, MHA, Data Science or a related field or commensurate professional work experience.
- 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.
- Ability to work independently as well as collaborate as a team.
- Professional with the ability to properly handle confidential information.
