Senior ML Data Scientist - Women’s Health
我们的使命是让每个人都拥有自己的内心潜力。我们的获奖产品通过使用 Oura Ring 及其连接应用程序帮助全球社区更深入地了解他们的准备，活动和睡眠质量。我们已经帮助数百万人理解并改善他们的健康，提供日常见解和实践步骤以启发健康的生活方式。赋予世界权力从生活我们的价值观和赋予我们的团队能力开始。作为一个快速增长的公司，专注于帮助人们过上更健康和更幸福的生活，我们确保团队成员有他们最好的工作 无论是在办公室外都能做得好。我们正在寻找一个经验丰富，有着强烈的资深机器学习数据科学家加入我们的妇女健康团队。你将在开发和商业化最先进的机器学习模型和算法方面发挥关键作用，利用可穿戴的健康数据来改善女性健康结果。你将领导复杂项目，辅导年轻团队成员，并为我们技术的战略方向做出重大贡献..你将做什么：· 促进创新性妇女健康功能的高级机器学习管道和模型的发展和部署，重点放在时间系列分析和坚实的验证。· 推动机器学习模型和算法的商业化，与包括科学家，产品经理，软件开发人员，产品设计师和测试工程师在内的跨职能团队密切合作。· 为模型性能评估，监控和生成可操作见解来制定严格的统计分析，以启发战略产品决策。· 对识别和特征新型健康感知功能进行深入探究研究，将概念证明思想转换为可扩展的商业化的产品。· 促进妇女卫生团队内机器学习最佳实践发展。· 呈现和传达复杂的技术概念给不同的观众。· 这是一个偏远美国角色，优先考虑位于旧金山，圣地亚哥或波士顿的候选人。这是一个偏远美国职位，略有偏好对于位于旧金沙，圣地雅哥或波斯顿的候選人。你将带来什么：·生物医学工程，电气工程，生物统计学，计算机科学或相关领域博士学位。以及3年以上机器学习和数据科学行业经验。·
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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.
We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology..
What You Will Do:
- 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.
- This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston.
This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston.
What you'll bring:
- 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.
Nice to have:
· Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses.
Benefits
At Ōura, we care about you and your well-being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.
What we offer:
- Competitive salary and equity packages
- Health, dental, vision insurance, and mental health resources
- An Ōura 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
Ōura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
Region 1: $172,550 - $203,000
Region 2: $158,950 - $187,000
Region 3: $147,900 - $174,000
A recruiter can determine your Region based on your US location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
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Originally posted on Himalayas