Job Details

Senior Data Engineer - Remote

The healthcare data scientist is responsible for building algorithms using Python, R, and structured query language (“SQL”) to identify cases of fraud, waste, and abuse (“FWA”) in the healthcare system. This requires a unique combination of technical skill and healthcare expertise. 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 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
• Performing other work related duties as assigned

Requirements:
Master’s degree in math, statistics, computer science or another related field with a computational focus. This position is fully remote.

To apply, please submit your resume and cover letter, highlighting your relevant experience, skills, and achievements in data engineering and healthcare analytics to:

Recruitment.aliviaanalytics@gmail.com