About the role
The essential functions include, but are not limited to, the following:
Identifying which data is relevant, available, and most useful for developing data models;
Collecting, categorizing, and analyzing data for data model development;
Applying SQL and machine learning to develop fraud, waste, and abuse models;
Visualizing results and building dashboards for fraud investigators;
Utilizing data visualization to present results to investigators and management to make recommendations to stakeholders;
Testing algorithms and models for accuracy and efficiency;
Communicating and transferring knowledge and expertise to other team professionals within the organization and externally to stakeholders;
Working across teams and departments to operationalize data models and products, monitoring the results ,and then adjusting models appropriately;
Ability to explain predictive analytics, models, and the algorithms across teams and departments and also to non-technical audiences and stakeholders;
Defining technical requirements to address internal and external business problems; and
Performing other work related duties as assigned.
The requirements for this position are:
Master's degree in math, statistics, computer science or another related field with a computational focus
About the company
Alivia Analytics is a leading health tech company specializing in innovative solutions for fraud, waste, and abuse (FWA) detection and healthcare analytics. Our cutting-edge software tools empower healthcare organizations to identify and prevent fraudulent activities, optimize operational efficiency, and enhance patient care. With our advanced algorithms, automation tools, and expertise in healthcare regulations, we are at the forefront of driving positive change in the industry. Join our dynamic team and contribute to making a meaningful impact in the fight against healthcare fraud while revolutionizing the way healthcare data is analyzed and utilized.
This job is sourced from a job board