Senior ML Data Scientist – Women’s Health

🕒 Abril 6

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $172.000 - $203.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

ŌURA

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🧘 Bem-estar

Wellness • Wearables • Health

ŌURA é uma empresa que produz anéis inteligentes projetados para fornecer métricas de saúde detalhadas e insights. O Oura Ring monitora uma variedade de dados relacionados à saúde, como padrões de sono, frequência cardíaca, níveis de atividade e estresse. Seu objetivo é ajudar os usuários a terem uma vida mais saudável e produtiva por meio de biometria precisa acompanhada por um anel confortável que pode ser usado durante o dia e a noite. Com recursos que beneficiam a saúde da mulher, a saúde do coração e o bem-estar geral, os anéis ŌURA são comercializados como dispositivos tecnicamente avançados e fáceis de usar para monitoramento de saúde pessoal.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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