Staff Machine Learning Data Scientist

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Health Technology, Wearable TechnologyIndustries

Requirements

Candidates must possess a PhD in machine learning, artificial intelligence, biomedical engineering, or a related field, with at least 5 years of post-PhD industry experience in applied ML within a product setting. Strong programming skills in Python and experience with cloud-based ML platforms like AWS, Github, Pytorch, and Docker are essential, along with a deep understanding of scalable ML workflows, data pipelines, evaluation frameworks, and production deployment. Experience with large time-series models, particularly those using sequential physiological or wearable data, is required. Bonus qualifications include a background in physiology, health sensing, or digital biomarkers, and experience shipping ML models to production with real-world validation. Candidates should be self-starters with strong collaboration and communication skills, thriving in cross-functional environments.

Responsibilities

The Staff Machine Learning Data Scientist will design and develop robust, scalable data generation pipelines for diverse physiological signals, prioritizing reproducibility and quality. They will research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data. Responsibilities include building scalable training pipelines for high-throughput model development, designing comprehensive evaluation strategies for model performance and clinical validity, and collaborating with engineering, product, and validation teams to deploy scientific models into production. The role also involves planning and supporting the long-term roadmap and mentoring junior team members on best practices in modeling and deployment.

Skills

Machine Learning

Data Pipelines

Time-Series Modeling

Python

SQL

MLOps

Model Deployment

Wearable Data

Physiological Signals

Data Science

Oura

Wearable health monitoring smart ring

About Oura

Oura offers a smart ring that tracks various health metrics, including sleep patterns, heart rate variability, and physical activity. The ring uses advanced sensors to collect data, which is then analyzed and displayed through a mobile app, providing users with insights to improve their health and lifestyle. Unlike many competitors, Oura focuses on a direct-to-consumer model, selling its rings through its website and collaborating with sports teams and health institutions for additional partnerships. The goal of Oura is to help users, including athletes and those with health conditions, optimize their health through data-driven insights.

Oulu, FinlandHeadquarters

2013Year Founded

$344.1MTotal Funding

SERIES_DCompany Stage

Biotechnology, HealthcareIndustries

501-1,000Employees