PLEASE NOTE BEFORE APPLYING:
CODOXO IS NOT ABLE TO OFFER SPONSORSHIP OR ACCOMMODATE ANY CANDIDATES THAT ARE CURRENTLY BEING SPONSORED NOW OR IN THE FUTURE
Do you want to help make healthcare more effective and affordable for everyone? That’s our mission at Codoxo. The U.S. spends more on healthcare than any other country in the world, but not all of the $3.8 trillion goes to real patient care. A significant portion, up to 10% or $380 billion, is lost to fraud, waste, and abuse.
Codoxo’s patented artificial intelligence technology helps healthcare companies and agencies identify and act quickly to control costs. Codoxo now has six AI-powered applications that help every department across health insurance payers proactively bring down costs and reduce fraud, waste, and abuse – so more dollars to toward patient care.
We are seeking a talented Data Scientist with experience in statistical data analytics, working with advanced machine learning algorithms, and solving complex problems. We have built a web-based application that is supported by a large dataset of healthcare data, where various reports are made available to users that have results generated by a variety of machine learning algorithms.
Key Responsibilities
- Lead the creation of new detection solutions driven by exploratory data analysis from complex and disparate healthcare datasets
- Develop and maintain capabilities to analyze accuracy and efficiency of data science pipelines
- Work both independently and in a team
- Own the entire lifecycle of machine learning models and algorithms, from ideation to production, including model maintenance
- Collaborate effectively with cross-functional team members to foster impact-driven data science
Basic Qualifications
- Strong knowledge of machine learning models and know their applicability and an understanding of their limitations
- Experience with healthcare data with Fraud, Waste, and Abuse and/or Payment Integrity
- MS or PhD in a relevant discipline (Math, Statistics, Computer Science or Engineering
- Experience with the design, implementation, and evaluation of statistical predictive models using large datasets
- Expert familiarity with diverse machine learning algorithms
- Proficiency working in a Linux environment and software development in Python
Preferred Skills
- Has work experience with building and maintaining big data and mastering techniques of parallel processing on big data
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
Benefits for You
- Health, Dental, and Vision insurance with 100% employee premium coverage, 50% dependents
- Unlimited PTO
- Hardware stipend for any home office work
- Professional Development stipend
- 401K Match
- Equity Program