About Us:
CureMD excels in providing advanced tools and technologies that empower healthcare professionals to make informed decisions about patient care. Our state-of-the-art solutions harness the power of data analytics, artificial intelligence, and machine learning to analyze patient information, decipher patterns, and render actionable insights. These advanced technologies equip physicians with profound insights into each patient's health, enabling them to formulate precise diagnoses, implement highly effective treatment strategies, and deliver top-quality care with ease.
Job Overview:
The CureMD Databases team helps the healthcare individuals seamlessly make the switch to CureMD products and supports them along the way. You swiftly solve technical issues to show how our products can make the lives of healthcare individuals more productive, collaborative, and innovative. Moreover, you use the data to perform Business Intelligence which provides business related trends helping shape a better product for the customers and going one step ahead you use Machine Learning models to predict the outcomes of problems that can rapidly improve the healthcare efficiency for the practices. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of international users.
Databases team helps healthcare individuals transform and evolve their processes through the use of CureMD’s vast network, web-scale data centers and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of how users of all sizes practice technology to connect with patients and other relevant partners. You will work with Healthcare practices in United States. As a Machine Learning Data Scientist, you will follow the Data Science Methodology to understand the client’s problem, use analytical approach to establish how data can answer the client’s problem, formulate data requirements, collect data through relational database systems from the cloud, understand the data, prepare it for your machine learning model, create a machine learning model for the problem, evaluate it, and present it to the client. Additionally, you will work closely with Product Management and Product Engineering to apply data science to the internal data to build and constantly drive excellence in our products.
Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers and developers see the benefits of our technology come to life.
Job Responsibilities:
Qualifications:
Compensation and Benefits:
💰 Financial:
🏥 Health and Wellness:
🤝🏻 Supportive Workplace:
📚 Continued Learning: