Senior Data Scientist

About the Role

Join our mission-driven health-tech company to advance innovative methodologies for cardiovascular health assessment using cutting-edge AI and sensor data. This is an exciting opportunity to join a highly capable algorithmic team collaborating closely with medical professionals to redefine preventative healthcare.

Responsibilities

• Design and implement advanced machine learning algorithms focused on cardiovascular health assessment.
• Apply in-depth knowledge of machine learning and signal processing to complex datasets.
• Deliver robust, production-ready algorithms and models, leveraging strong software engineering skills.

Requirements

• Academic background in Software Engineering or Machine Learning.
• Strong proficiency in designing and implementing machine learning algorithms.
• In-depth knowledge of both machine learning principles and signal processing techniques.
• Proven track record of successfully delivering machine learning models into production environments.
• Prior experience applying machine learning specifically to time-series data.

Nice-to-Haves

• Further academic study (MSc or PhD level) in Machine Learning.
• Expertise working with cardiovascular sensor data, such as electrocardiogram (ECG), heart sound, or photoplethysmogram (PPG) data.

Team Context

• Become an integral part of a remote-first algorithmic team that collaborates closely with internal medical doctors and external clinical experts.
• The engineering organization utilizes a mix of technologies including Python, React, Typescript, and C++.