Your role

As a Senior Data Scientist - Healthcare Fraud Expert role, your healthcare expertise is crucial. This position not only requires advanced data science skills but also deep domain knowledge in healthcare systems, fraud detection, and regulatory practices. Your understanding of healthcare-specific data, fraud patterns, and compliance standards will be key to building effective models and strategies that detect and prevent fraudulent activities within the healthcare sector.

What you will do 👊

• Learn about health data and healthcare insurance dynamics

• Work on different Deep Learning, Machine Learning and statistical methods for fraud, waste and abuse detection

• Aid in the deployment of the models in production

• Work on optimizing these models based on user’s feedback

• Develop papers, blog posts and open-source trained models

• Aid in maintaining and scaling our internal AI package

• Work on enhancing the actionability of fraud detection.

Who you are 😀

You have at least 5+ years of experience as a Data Scientist, Deep Learning, or Machine Learning Engineer, along with prior experience working in the healthcare sector, specifically in Fraud, Waste, and Abuse detection. These two criteria are essential for your success in this role. 

In addition:

• Very curious about the new advancements on AI, up to date with the SOTA

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences

• Experience in putting and maintaining models in production

• Very good coding skills in Python

• Fluent in English (Both Verbal and written). 

Bonus skills 🤩

• Any additional language is a plus

• Experience in exploring and implementing research papers

• Screening interview

• 2 Technical interviews

• Fit interview