Data Scientist I Job Locations

US-Remote ID

2024-12497

Category Engineering/IT  

Position Type Full-Time Overview

The Data Scientist I is focused on machine learning solutions in Healthcare Technology and builds value-oriented, production level machine learning solutions. This is not a research oriented data scientist; instead you will apply your knowledge and experience to real world problems, and seek to utilize 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.

Responsibilities

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. Create actionable and pragmatic data science models with minimal supervision. * Understands business needs and identifies potential use cases in more than one business unit. Works with external partners to develop a minimal viable product to meet those needs while resolving any issues that may arise. * Consistently collaborates with fellow data scientists and frequently interacts with business partners, project managers, cross-functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value. * Continuously work to be updated on the latest developments in machine learning and the healthcare industry. Work with key stakeholders both within RandD and Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and AI techniques. * Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases. * Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work. * Prepare your final trained model and develop a validation test set for QA. * 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. * Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform * Provide End to End value-based solutions, including data pipeline, model creation and application for end... For full info follow appli cation link.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities