Machine Learning Scientist
Core
Solving open-ended scientific and machine learning problems by turning imperfect real-world data into robust, reproducible analyses and models for hormone monitoring.
Role type
Applied Machine Learning Scientist
Builds
Robust analyses and models for hormone monitoring platform
Domain
Health tech / Bio-signals
Deliverable
production ML models
Required skills
Machine learning fundamentals, statistics, experimental reasoning, Python, model validation, uncertainty quantification, feature engineering, error analysis, signal processing
Preferred skills
Master's or PhD in Engineering/CS/Data Science/Mathematics, deep learning experience
Technologies
Python, common ML/data science libraries
Responsibilities
Explore datasets and understand data-generating processes; Develop, evaluate, and improve ML, signal processing, and statistical models; Perform feature engineering, model selection, validation, and error analysis; Investigate production performance, diagnose failures, and identify distribution shifts; Design experiments to resolve uncertainty and guide modelling decisions; Produce clear, reproducible Python code and communicate findings to stakeholders.
