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SeniorFull-timePythonRustAWSMachine LearningData Science
Salary Range
$104,975 - $142,025 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a highly experienced and driven Machine Learning Data Scientist to join our Women's Health team at Oura. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes.
Key Responsibilities
- βContribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation.
- βDrive 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.
- βDesign and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
- βConduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
- βContribute to the development of best practices for machine learning within the Women's Health team.
- βPresent and communicate complex technical concepts to diverse audiences.
Requirements
- βPhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science.
- β5+ years of advanced programming experience in Python and SQL.
- βExtensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing.
- βDemonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms.
- βExcellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences.
- βSelf-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
- βStrong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.
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