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# Data Scientist I

- **Company:** Boston, Inc.
- **Location:** Arden Hills, MN, United States
- **Experience:** Starter
- **Salary:** $59,900.0 - $113,800.0
- **Contract:** Internship / Graduate position
- **Skills:** Microsoft Azure, Python (Programming Language), Tensorflow, Software Deployment, Azure Service Bus, Pytorch, Deep Learning, Keras, Git, Containerization, Kubernetes, Information Technology, Software Version Control, Docker
- **Published:** August 29, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88177625/1

## About the Role

* Bachelors degree in Computer Science
 * Minimum 1 years experience with Python
 * Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
 * Prior internship experience with Boston Scientific, * Masters degree in Computer Science
 * Demonstrated cross function teamwork in a technically demanding environment
 * ECG / PPG device experience
 * Experience with deep learning toolkits (Tensorflow, PyTorch, Keras, etc)
 * Experience with Azure Cloud technologies (Azure Storage, Azure Service Bus, etc)
 * Experience with containerization technologies (Kubernetes, Docker, Helm, etc)
 * Demonstrated use of source control tools (Git, etc)
 * Practical experience developing and deploying software
 * Experience with regulatory validation processes for software as a medical device

## Description

About the role: Data Scientist will work with a small team of data scientists developing and deploying Deep Learning models to interpret biologic signals on ambulatory patients to improve patient outcomes. The team has developed a large volume of diverse and accurate data for training and validation and works closely with experts in this domain.

Your responsibilities will include:

 * Develop models and infrastructure to interpret biologic signals and other business data
 * Validation and documentation of models for production deployment
 * Support production deployment and monitoring of models
 * Publishing research in support of business needs
 * Developing and documenting intellectual property


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