Senior ML Data Scientist – Women’s Health

ŌURA

. Develop and deploy advanced machine learning pipelines and models for Women's Health features, focusing on time-series analysis and robust validation .

Posted 10/16/2026full-timeRemote • United StatesSenior💰 $147,900 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and deploying machine learning models and pipelines, particularly in the context of Women's Health, with a strong emphasis on time-series analysis and statistical modeling. Proven ability to communicate complex technical concepts effectively to diverse audiences and lead projects while mentoring junior team members.

Highest-signal resume keywords

PhD In Biomedical EngineeringMachine Learning And Data Science ExperienceAdvanced Programming In Python And SQLStatistical Modeling TechniquesDomain Knowledge In Women's Health

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceStatistical AnalysisDeep LearningTime-Series AnalysisSignal ProcessingModel Performance EvaluationCommercialization Of Machine Learning ModelsExploratory ResearchTechnical Concept Communication

Soft Skills

Excellent Communication SkillsMentoringProject Leadership

Industry Keywords

Women's HealthHealth DataWearables

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and deploy advanced machine learning pipelines and models for Women's Health features, focusing on time-series analysis and robust validation
Drive commercialization of machine learning models and algorithms with scientists, product managers, software developers, product designers, and test engineers
Design and execute statistical analyses for model performance evaluation and monitoring
Generate actionable insights to inform strategic product decisions
Conduct exploratory research to identify and characterize novel health sensing features
Translate proof-of-concept ideas into scalable, commercialized products
Contribute to machine learning best practices within the Women's Health team
Present and communicate complex technical concepts to diverse audiences
Lead complex projects, mentor junior team members, and contribute to technology strategy

Requirements

What you’ll need

PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field
3+ years of industry experience in machine learning and data science
5+ years of advanced programming experience in Python and SQL
Extensive experience with machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing
Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms
Excellent communication skills and ability to articulate complex technical concepts to technical and non-technical audiences
Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses

Benefits

Comp & perks

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Ōura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave