Eli Health seeks an Applied Machine Learning Scientist to solve practical problems with real-world datasets. Join a dynamic team that transforms hormone monitoring technology while applying advanced ML techniques.This on-site role emphasizes scientific problem solving and applied machine learning, rather than infrastructure. You will tackle complex datasets, focusing on model development, validation, and clear communication of findings to stakeholders. Collaboration with the ML lead will ensure your work is effectively integrated and applied.Key Responsibilities:Analyze datasets for underlying processesDevelop and refine machine learning and statistical modelsConduct feature engineering, model selection,



and validationInvestigate production model behavior and diagnose failuresCommunicate results effectively to technical and non-technical teamsRequirements:Bachelor's degree in a relevant field; Master's or PhD preferredMinimum 5 years of skilled machine learning experienceProficient in Python and data science librariesStrong understanding of statistics and model validationAbility to work independently on ambiguous problemsLeverage your machine learning expertise to make a significant impact at Eli Health as we redefine hormone monitoring.

📌 Applied Machine Learning Scientist At Eli Health (Montreal)
🏢 Eli Health
📍 Montreal