Senior ML Data Scientist – Women’s Health
Job Description:
• Contribute 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.
• 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.
• Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
• Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
• Contribute to the development of best practices for machine learning within the Women's Health team.
• Present and communicate complex technical concepts to diverse audiences.
Requirements:
• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 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.
• Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
• Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.
Benefits:
• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura 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
Apply tot his job
Apply To this Job
• Contribute 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.
• 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.
• Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions.
• Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products.
• Contribute to the development of best practices for machine learning within the Women's Health team.
• Present and communicate complex technical concepts to diverse audiences.
Requirements:
• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 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.
• Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
• Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.
Benefits:
• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura 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
Apply tot his job
Apply To this Job