Senior ML Data Scientist (Women’s Health)

TL;DR

Senior ML Data Scientist (Women’s Health): Developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes with an accent on time-series analysis and robust validation. Focus on driving commercialization, designing rigorous statistical analyses, and conducting in-depth exploratory research to translate proof-of-concept ideas into scalable products.

Location: Remote (United States) with a preference for San Francisco, San Diego, or Boston. Candidates residing in Alaska, Delaware, Iowa, Mississippi, Missouri, Nebraska, South Dakota, West Virginia, and Wisconsin will not be considered.

Salary: $172,000 - $203,000 (USD) in Region 1, $158,000 - $187,000 (USD) in Region 2, $147,000 - $174,000 (USD) in Region 3.

Company

hirify.global is a product company empowering individuals to own their inner potential through award-winning Oura Ring products that provide daily insights into readiness, activity, and sleep quality.

What you will do

• Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features.
• Drive the commercialization of machine learning models and algorithms in collaboration with cross-functional teams.
• Design and execute rigorous statistical analyses for model performance evaluation and monitoring.
• Conduct in-depth exploratory research to identify novel health sensing features and translate ideas into commercial 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 ability to articulate complex technical concepts.
• Self-driven, motivated, with a pragmatic can-do attitude and delivery-focused mindset.

Nice to have

• Strong domain knowledge in Women's Health.
• Experience with health data from wearables.

Culture & Benefits

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