Senior ML Data Scientist - Women’s Health

About the company

The organization operates in the wearable health technology industry, focusing on providing users with detailed insights into their readiness, activity, and sleep quality through connected devices and applications. It addresses the challenge of enabling individuals to understand and improve their health by delivering actionable daily insights. The company has a global reach, having supported millions in enhancing their health.

About the role

The Senior Machine Learning Data Scientist - Women's Health will lead the development and commercialization of advanced machine learning models using wearable health data to improve outcomes in women's health. This role is critical for driving innovative features and translating research into scalable products, influencing the organization's strategic technological direction.

Responsibilities

• Develop and deploy machine learning pipelines and models focused on women's health, emphasizing time-series analysis and validation.
• Collaborate with cross-functional teams to commercialize machine learning algorithms.
• Design and perform statistical analyses to evaluate model performance and inform product decisions.
• Conduct exploratory research to identify novel health sensing features and scale proof-of-concept ideas.
• Establish best practices for machine learning within the women's health team.
• Communicate complex technical concepts to diverse audiences.

Requirements

• PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or related field.
• Minimum 3 years of industry experience in machine learning and data science.
• Over 5 years of advanced programming experience in Python and SQL.
• Expertise in machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing.
• Proven experience in full lifecycle development and commercialization of machine learning models.
• Strong communication skills for technical and non-technical audiences.
• Self-motivated with a pragmatic and delivery-focused mindset.

Pay

• Region 1: $172,550 – $203,000
• Region 2: $158,950 – $187,000
• Region 3: $147,900 – $174,000

Benefits

• Health, dental, and vision insurance
• Mental health resources
• 20 days paid time off, 13 paid holidays, and 8 flexible wellness days
• Paid sick leave and parental leave
• Competitive salary and equity packages
• Employee discounts and wearable device provided