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12 часов назад

Senior ML Data Scientist, Health Sensing

172 000 - 203 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior ML Data Scientist, Health Sensing (Wearable Health Data): Developing and commercializing machine learning models and pipelines for illness detection from wearable health data with an accent on time-series analysis, signal processing, and rigorous validation. Focus on designing statistical performance evaluations, researching novel health-sensing features, and improving production algorithms at scale.

Location: Remote - United States; candidates residing in Alaska, Delaware, Iowa, Mississippi, Missouri, Nebraska, Rhode Island, South Dakota, Vermont, West Virginia, or Wisconsin are not considered. Preference is given to candidates based in San Francisco, San Diego, or Boston. Offices are available in San Francisco and San Diego for hybrid or office settings.

Salary: $172,000–$203,000 for Region 1, $158,000–$187,000 for Region 2, or $147,000–$174,000 for Region 3, depending on US location and qualifications.

Company

hirify.global develops the Oura Ring and connected app to provide insights into sleep, activity, readiness, and personal health.

What you will do

  • Develop and deploy machine learning pipelines and models for illness detection features using wearable health data.
  • Drive the commercialization of machine learning models and algorithms in partnership with scientists, product managers, software developers, product designers, and test engineers.
  • Design and execute statistical analyses for model evaluation, monitoring, and product decision-making.
  • Conduct exploratory research into novel health-sensing features and translate proof-of-concept ideas into scalable products.
  • Prioritize high-impact opportunities and own projects from open questions through shipped capabilities.
  • Monitor and improve production algorithms using large-scale member data, and communicate technical concepts to diverse audiences.

Requirements

  • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field, plus 3+ years of industry experience in machine learning and data science.
  • 5+ years of advanced programming experience in Python and SQL.
  • Extensive experience with machine learning and statistical modeling, including deep learning, time-series analysis, and signal processing.
  • Experience developing and commercializing machine learning models and algorithms across their full lifecycle.
  • Ability to work independently, define technical direction and roadmaps, and deliver projects with limited direction.
  • Excellent communication skills for explaining complex technical concepts to technical and non-technical audiences.

Nice to have

  • Domain knowledge in illness, infection, or immune response physiology.
  • Experience working with health data from wearables.

Culture & Benefits

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

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