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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Data Scientist, Health Sensing - **Company:** Ouraring Inc. - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $172,000.0 - $203,000.0 - **Contract:** Permanent contract - **Skills:** Computer Programming, Python (Programming Language), Machine Learning, Signal Processing, SQL Databases, Deep Learning, Information Technology, Multiaccess Edge Computing - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-ml-data-scientist-health-sensing-oura-company-9745661 ## About the Role * PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science. * 5+ years of advanced programming experience in Python and SQL. * Extensive experience with a wide range of 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. * Proven ability to operate independently: comfortable being the sole scientist on a project, defining your own roadmap, and unblocking yourself without waiting for direction. You move quickly and prioritize effectively. * Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences. * Domain knowledge in illness, infection, or immune response physiology, and experience with health data from wearables are significant pluses. ## Description We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our health sensing team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to help members detect and understand illness. This role carries a high degree of independence - you will own projects end to end, set your own technical direction, and partner directly with product and engineering to bring your work to members. What you will do: * Contribute to the development and deployment of advanced machine learning pipelines and models for innovative illness detection features, focusing on time-series analysis and robust validation. * Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers, serving as the primary science partner for illness algorithm work. * Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions. * Independently scope and conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products. * Identify and prioritize the highest-impact opportunities in a broad problem space, and drive them from open question to shipped capability with limited direction. * Monitor and improve the performance of algorithms already running in production at scale, using large-scale member data to guide where to invest next. * Present and communicate complex technical concepts to diverse audiences. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)