Codoxo is an AI-assisted platform that accelerates the identification of fraud, waste, and abuse in Healthcare which costs the nation $270B annually. Codoxo has won numerous awards and continues to make an impact within the industry. We are rapidly growing and seeking exceptional talent to achieve our goal of ensuring that our scarce healthcare dollars go to real patient care.

Job Description  

We are seeking a talented Director of Data Science with prior experience in healthcare fraud, waste and abuse analytics. Candidate should be comfortable working with advanced machine learning algorithms and solving complex problems. The main tasks are listed below:

- Lead the creation of new advanced analytical solutions that identify fraud, waste and abuse from complex and disparate healthcare datasets. This includes taking projects from ideation to execution

- Execute analytical approaches to design, develop, and evaluate methodologies and advanced algorithms that result in the extraction of optimal value from data

- Investigate various data, technologies, and methodologies to determine their applicability in solving current problems

- Keep abreast of developments within machine learning and apply where appropriate

- Enhance and maintain the repository that contains all the algorithms and code that constitute the AI engine of the platform

- Experience managing and scaling a data science team

- Organized and ability to work under tight deadlines

- Ability to communicate complex analytical concepts to a non-technical audience

Required technical skills:  

       - MUST HAVE extensive knowledge of various areas of Healthcare Payment Integrity

       

       - MUST HAVE extensive experience working in the Healthcare industry

       - MUST HAVE strong experience in Data Science Modeling

       

       - MS or Ph.D. in a relevant discipline (Mathematics, Statistics, Computer Science, Engineering or related technical field

       

       - Experience with the design, implementation, and evaluation of statistical predictive models using large datasets

       - Strong proficiency in Python

       - Expert familiarity with machine learning technologies

Other Requirements/Preferences: 

- Several years of experience in advanced analytics  

- Familiarity with the use of cloud computing platforms (e.g., Amazon Web Services)  

- Experience with large-scale data processing technologies 

- Experience with healthcare data 

- Experience using SQL or other database query languages 

- Authorization to work in the USA