Senior Analytics Engineer

Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

Position Overview:
Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. The Senior Data Scientist role is responsible for research and development of Insulet’s brand new and strategic insulin therapy optimization solution for patients and healthcare providers. You will be developing analytics to gain insights of device settings, usage patterns, failure modes, and clinical outcomes. Using machine learning and pattern recognition techniques, you will develop algorithms to recommend optimal pump parameters to achieve the best clinical outcome. As one of the first team members, you have the opportunity to shape the technical framework and grow your role within the company tremendously.
Responsibilities:
• Work with IT and cross functional teams to identify data sources, design data ingestion and data storage platforms.
• Develop data clean up and preprocessing scripts as needed.
• Explore data patterns using existing data science tools and self-created programs.
• Develop and implement algorithms for insulin pump therapy optimization.
• Present findings to leadership and non-specialists in relation to business objectives.
• Mentor junior engineers.
• Performs other duties as required.

Education and Experience:
Minimum Requirements:
• Masters or Ph.D. degree in Computer Science, Electrical and Computer Engineering, or a closely related field is required.
• At least 5 years of work and research experience on machine learning, artificial intelligence, or statistical inferences.
• Experiences in medical device or healthcare industries is desirable.
Preferred Skills and Competencies:
• Demonstrated proficiency in one or more analytic software tools, such as Python, R, Matlab, etc.
• Demonstrated proficiency in SQL and one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc.
• Experience in C/C++, C#, Java programming is a plus.
• Experience in Business Intelligence tools, such as Tableau, Spotfire, Cognos, is a plus.
• Demonstrated knowledge of software engineering principles and practices.
• Ability to work independently without detailed guidance, yet maintaining effective communications with leaders and stakeholders.