Contribute to development of new human physiology based features and new sensor technology
Transform multi-sensor data into actionable health metrics by combining insights from diverse biosensing technologies with state-of-the-art data science methodologies
Develop reusable data analytics tools, which can be deployed at scale
Actively participate in developing and refining the team’s strategic roadmap, innovating and prioritising initiatives, and aligning project goals with broader organisational objectives
Lead data collections, write scientific reports, publications and white papers, and present findings internally and externally
Collaborate with cross-functional teams and overseas stakeholders
Work within the Product Science team to pioneer algorithmic development for wearable biomarker data
Requirements
6+ years of experience in Data Science with sparse real world data, most likely wearable data with excellent physiological understanding
Clinical research expertise around health data
Considers Python as their Mother Tongue
Strong track record in developing deep learning and multimodal data fusion for sequential data
Experience with forecasting models, optimization models, statistical analysis, and running simulations
Advanced degree (Masters/Doctor) in a STEM-related field (e.g. engineering, computer science, mathematics, statistics) or equivalent work experience
Expert level experience building and deploying data science products using AWS tools, SQL, GitHub, and Pytorch
Strong project management experience and comfortable working with a diverse, distributed team
Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders
Proactive mindset, resilience and creativity in ambiguous problem spaces
Experience leading data collections and writing scientific reports/publications