As a Data Scientist, you will harness the power of data to develop and refine machine learning models that drive our cutting-edge AI solutions.
Your work will be crucial in transforming complex data into actionable insights, enabling us to build advanced algorithms and optimize our AI products. Collaborating closely with engineers and product teams, you will help shape our data-driven strategies and accelerate our growth.
RESPONSIBILITIES
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.
3+ years of experience as a Data Scientist, Deep Learning, or Machine Learning Engineer - prior experience working in the healthcare industry is a strong plus (Document AI, Medical Coding, Fraud, Waste and Abuse detection)
Flawless Fluency in Cantonese and English.
Strong communication and presentation skills: you have the ability to convey complex concepts to non-technical audiences
Deep curiosity about the new advancements on AI, up to date with the SOTA
Experience in delivering and maintaining models in production
Very good coding skills in Python
Interview with the Talent Acquisition Leader
Interview with Data Scientist Lead
Technical Interview 1 - Data Science & Algorithms
Technical Interview 2 - Quantitative Modelling
Interview with the CTO