Job Description

Sharecare is the leading digital health company that helps people -- no matter where they are in their health journey -- unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are altogether better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.

WhiteHatAI is a division of Sharecare. WhiteHatAI is working with Special Investigations Units (SIU) for major U.S. payers who believe fraud alone in their organizations accounts for 10% of their total healthcare claims transaction volume. These units are currently recovering less than 2% of their fraud, leaving billions of dollars in losses.

The rules-based, retrospective, analytic systems currently used have proven insufficient in combating FWA. The market is missing the critical ingredient for fighting FWA prepayment; a flexible prepayment solution that moves investigative efforts from post-payment to prepayment. This need creates a tremendous opportunity. The market is searching for the prepayment Artificial Intelligence (AI) approach provided by WhiteHatAI. The combination of the maturity of AI technologies and increasing FWA makes this the perfect time for WhiteHatAI.

Job Summary:

WhiteHatAI Data Analytics team is looking for a Statistician/Data Scientist. In this role, you will engineer and implement production code to generate insights from data across the company and its customers. You'll engage in a variety of projects that will build your analytical skills across a wide spectrum of areas. As a Statistician/Data Scientist, you will help us build the next generation of data-driven decision-making tools for our distributed analytics applications.

The focus of this position is to research, engineer, and develop software and methods to find fraud, waste, and abuse in health insurance claims. You will use a combination of mathematics, statistics, statistical learning, and software engineering to recover savings for health insurance industry members, providers, and payers.

Requirements

Qualifications:

* MS or PhD degree in statistics, biostatistics, bioinformatics, computational biology, mathematics, operations research, or in a fundamentally quantitative field
* 5+ years' experience in data analytics, data science, quantitative analysis using statistical computer languages (R, Python, SLQ, etc.) to draw insights from large data sets
* 4+ years' experience in Python development, preferably delivering production code for data applications
* Demonstrable background of applying known statistical and engineering techniques to solve novel problems
* History of delivering code and statistical solutions for enterprise applications
* Experience with a variety of statistical learning techniques such as decision trees, random forest, logistical regression, clustering, taxonomies, statistical classifications, etc.
* Experience designing and developing for security critical applications; experience with the specifics for HIPAA/PHI/PII/GDPR a big plus
* Experience developing data offerings using R Shiny, Plot.ly/Dash or Flask
* Basic experience with Linux is helpful
* Extensive experience with Git
* Knowledge of Agile development practices
* Flexibility and adaptability to respond to a rapidly changing environment
* Experience with distributed computational techniques and job orchestration tools and platforms is very valuable: joblib, airflow, cadence, etc.

EEO Statement

Sharecare is an Equal Opportunity Employer and doesn't discriminate on the basis of race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status,or other non-merit factor.