Posted in Other 15 days ago.
Cotiviti is looking for an industry leading Data Scientist Team Lead focused on machine learning solutions to join a revolution in Healthcare Technology and build value-oriented, production level machine learning solutions. As a team lead this role should appeal to experienced data scientists who enjoy the role of mentoring data scientists and managing the work effort to make the team successful, while still maintaining a hands on role with their own machine learning initiatives. This role is not for the research oriented data scientist, but rather should be of interest to those that want to apply their 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. Cotiviti's Machine Learning and Strategic Analytics team consists of data scientists, engineers and data analysts dedicated to developing and implementing robust, scalable, value-based solutions on our proprietary machine learning platform that uses a blend of best in class vendor solutions, together with custom built capabilities where gaps in the market exist. With access to a dedicated Hadoop based multi-node cluster 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 Team Lead 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 guts, flexibility, and personal drive to succeed in a dynamic environment where the individual is judged based on their direct impact to business outcomes.
As a Data Scientist Team Lead in the Machine Learning and Strategic Analytics team 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 be assigned a number of projects to complete, and lead small teams of data scientists to develop solutions as well as complete some projects yourself. 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.
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 for our client's members. Must have implemented machine learning solutions within production environments at scale
Big Data Analysis:Strong ability to manage and analyze data in a Hadoop environment using a variety of scripts, including Scala/Spark, Python, and others.
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:Applies statistical methodology to solve business problems; appropriately interprets meaning from results
Business Knowledge:Strong understanding of the tenets of health insurance benefits, 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
Additional Beneficial Requirements:
For the safety of our employees and those considering employment with Cotiviti, we are currently conducting all interviews virtually. In addition, the majority of the Cotiviti team is currently working remotely, and we are onboarding new hires remotely as well. As we monitor the pandemic, these arrangements may change and we will update accordingly.