Overview

Cotiviti is currently looking to add an industry leading Data Scientist I QA, who is focused on machine learning solutions to join our Enterprise Data Science Team and build value-oriented, production level machine learning solutions. 

This role is not for research-oriented data scientist, but rather should be of interest to those that want to apply their knowledge and experience to real world healthcare problems and seek to utilize machine learning and artificial intelligence to reduce the cost of healthcare and improve the management of healthcare. With access to dedicated on premise and cloud based big data solutions, this role will work with a vast amount of structured and unstructured data, including claims, membership, provider, medical records, and additional data sources, to begin to solve some of the most pressing healthcare issues of today. 

A Data Scientist I QA at Cotiviti will be given the opportunity to work directly with a team of knowledge healthcare professionals to set and establish aggressive goals and execute them with the team. This role is for an ambitious and curious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.

Responsibilities

As a Data Scientist I QA within Cotiviti you will be responsible for delivering solutions that help our clients and internal partners identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value, through machine learning, associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into Cotiviti’s machine learning platform for production execution and monitoring. You will have more flexibility to experiment during exploratory data analysis to discover solutions to business problems.

• Work with key stakeholders with Research and Development, as well as Operations, along with product management to access the potential value and risks associated with business problems that have the potential to be solved using machine learning and artificial intelligence techniques.
• Develop an exploratory data analysis approach t...