Senior ML Data Scientist, Women's Health (Remote)

ŌURA; Oregon; Hybrid; USD 148,000 - 203,000; Full time

Benefits offered by this job

Competitive salary

Equity packages

Health insurance

Dental and vision

Mental health resources

Oura Ring for employee

Employee discounts

Paid time off

Paid holidays

Sick leave

Parental leave

Job summary

ŌURA is seeking a highly experienced Senior Machine Learning Data Scientist to join the Women's Health team. The role involves developing and deploying advanced ML models using wearable health data to improve women's health outcomes, with a strong emphasis on time-series analyses and robust validation.

You will lead projects, mentor teammates, and influence the strategic direction of our technology. This is a remote US role with a preference for candidates in San Francisco, San Diego, or Boston.

Qualifications

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field.
• 3+ years of industry experience in machine learning and data science.
• 5+ years of advanced programming experience in Python and SQL.

Responsibilities

• Contribute to development and deployment of ML pipelines and models for Women’s Health features, focusing on time-series analysis and validation.
• Drive commercialization of ML models in collaboration with cross-functional teams.
• Design and execute rigorous analyses for model performance, monitoring, and strategic insights.
• Identify novel health sensing features and translate ideas into scalable products.
• Help develop best practices for ML within the team.
• Present complex concepts to diverse audiences.

Skills

Machine learning

Data science

Python

SQL

Deep learning

Time-series

Signal processing

Communication

Full lifecycle

Education

PhD in related field

Job description

ŌURA is seeking a highly experienced Senior Machine Learning Data Scientist to join the Women's Health team. The role involves developing and deploying advanced ML models using wearable health data to improve women's health outcomes, with a strong emphasis on time-series analyses and robust validation.

You will lead projects, mentor teammates, and influence the strategic direction of our technology. This is a remote US role with a preference for candidates in San Francisco, San Diego, or Boston.