Data Scientist I, Ai/ml at Cotiviti

Overview

Overview The Data Scientist I is focused on machine learning solutions in Healthcare Technology and builds value-oriented, production level machine learning solutions, applying knowledge and experience to real world problems and utilizing Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve health quality and outcomes. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team.

This is for an ambitious 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. As a Data Scientist within Cotiviti you will be responsible for delivering solutions that help our clients 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 associated with your projects.

You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented. Responsibilities Create actionable and pragmatic data science models with minimal supervision. Understands business needs and identifies potential use cases in more than one business unit.

Requirements

• Reasoning and Problem Solving: Ability to actively and skillfully conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action.
• Consulting: Demonstrated ability to make and gain acceptance of data-driven recommendations made to business owners.
• Strong ability to appropriately summarize and effectively communicate complex concepts & varied data sets to inform stakeholders, gain approval, or prompt actions; Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation.
• Statistical Analysis: Apply statistical methodology to solve business problems; appropriately interprets meaning from results.
• Business Knowledge: Good understanding of the tenets of health insurance, the managed care model, industry coding/policy standards, the claim adjudication process, and issues related to fraud waste and abuse.
• Ability to apply this knowledge to the development & evaluation of new initiatives and support leading the team strategy toward best practices.
• Financial Analysis: Ability to understand, generate and evaluate healthcare utilization, unit cost and medical cost trends.
• This includes understanding levers that effect healthcare cost, such as contracting, networks, policies, benefit structures, and product design.
• Ability to draw conclusions and make recommendations based on financial data.
• Functional Programming: Ability to work with, understand and create object oriented/functional programming solutions using modern application frameworks.
• Ability to work independently as well as collaborate as a team.
• Flexibility to work with global teams as well geographically dispersed US based teams.
• Professional with ability to properly handle confidential information.
• Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
• Ability to handle multiple tasks, prioritize and meet deadlines.
• Ability to work within a matrixed organization.
• Proficiency in all required skills and competencies above.
• Physical Reqirements and Working Conditions: Remaining in a stationary position, often standing or sitting for prolonged periods.

Benefits

• package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our

Benefits

• package, please refer to our Careers page.
• Since this job will be based remotely, all interviews will be conducted virtually.
• Date of posting: 8/31/2026 Applications are assessed on a rolling basis.
• We anticipate that the application window will close on 11/30/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. #LI-LL1 #remote #Senior #LI-DNI