Senior Engineer, Data Science

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 Lead/Support systems investigations and research activities to define and/or understand how systems interface with biological systems. Prepares standard reports/documentation to communicate status and results. Supports FDA/QSR requirements by assisting in the creation of specifications and qualifications. Influences and defines functional, departmental/divisional procedures through involvement with cross-functional engineering initiatives. Supports system risk management activities, Use/Design FMEA's, risk/hazard analysis. Bachelor's degree in engineering or equivalent (BE, B Tech, MCA, MSc, M Tech) Minimum 10+ years of industry experience. Minimum 5+ years of experience in Analytics with 3+ years of experience in Python Demonstrated cross function teamwork in a technically demanding environment Experience in regulated product development environment, particularly for medical devices, a plus. Highly accountable and responsible. Self-starting, self-motivated, self-directed, and self-sufficient. Familiar with Agile development methodologies. Excellent Communication, presentation and interpersonal skills with proficiency in English (verbal and written). 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) Experience with regulatory validation processes for software as a medical device