Diabetes Youth Families is a company that provides wearable insulin delivery solutions for diabetes management. Their primary products, such as the Omnipod 5 and Omnipod DASH systems, offer tubeless and automated insulin delivery for people with Type 1 and Type 2 diabetes, allowing users to manage their condition without the need for multiple daily injections. The systems integrate with continuous glucose monitoring (CGM) devices and can be controlled via compatible smartphones, enhancing the freedom and lifestyle of individuals living with diabetes. With a focus on reducing the burden of diabetes management, they offer financial assistance, support resources, and trial programs to help users adapt to their innovative solutions. The company emphasizes making life simpler while managing diabetes through technology-driven insulin management systems.
3 days ago
Diabetes Youth Families is a company that provides wearable insulin delivery solutions for diabetes management. Their primary products, such as the Omnipod 5 and Omnipod DASH systems, offer tubeless and automated insulin delivery for people with Type 1 and Type 2 diabetes, allowing users to manage their condition without the need for multiple daily injections. The systems integrate with continuous glucose monitoring (CGM) devices and can be controlled via compatible smartphones, enhancing the freedom and lifestyle of individuals living with diabetes. With a focus on reducing the burden of diabetes management, they offer financial assistance, support resources, and trial programs to help users adapt to their innovative solutions. The company emphasizes making life simpler while managing diabetes through technology-driven insulin management systems.
• Responsible for supporting research and development of global analytics and data science initiatives. • Develop tools and processes to transform data into insights. • Collaborate with other Data Scientists in the Analytics COE to support cross-functional efforts.
• Bachelor’s or master's degree in mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field preferred. • At least 2 years of work experience on machine learning, artificial intelligence, or statistical inferences. • Experiences in manufacturing, medical device, and/or healthcare industries is desirable.
• 100% remote working arrangements • Work from home/virtually 100% • Hybrid on-site/virtual as desired
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