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 (leadership and stakeholders) and externally (conferences, etc.)
Collaborate with cross-functional teams and overseas stakeholders

Have 6+ years of experience in Data Science with sparse real world data, most likely wearable data with excellent physiological understanding
Considers Python as their Mother Tongue and has a 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.
Have an 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 is comfortable working with a diverse, distributed and talented group of team members
Excellent written and verbal communication skills to explain technical concepts to non-technical stakeholders
Demonstrates a proactive mindset, thriving in uncharted territories with the resilience and creativity to navigate ambiguity and deliver solutions in the face of obstacles

Senior Data Scientist

Key skills