Big Data Technology, Machine learning techniques, NumPy, Pandas, Python Programming, Scala Programming, Scikit-learn, SPARK Programming, TensorFlow
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.
Qualifications
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.
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.
Minimum Qualifications
Base compensation ranges from $93,000.00 to $109,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti is a prominent analytics and solutions company that is revolutionizing the economics of healthcare by enabling its clients to identify untapped opportunities for value creation. The company's solutions serve as a vital underpinning for healthcare payers seeking to achieve their goals of reducing healthcare costs and enhancing quality through more effective payment accuracy, risk adjustment, quality improvement, and network performance.