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Machine Learning Data Scientist - Women's Health

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 over one million 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 have offices in San Francisco and San Diego for those who prefer hybrid or office settings and employee hubs, including New York City, Boston, Los Angeles, Seattle, and more.

We are looking for a Machine Learning Data Scientist to work within the Women’s Health team to develop and commercialize novel new machine learning models and algorithms.

What you will do: 

  • Build and deploy machine learning pipelines and models for Women’s Health features.
  • Work closely with a cross-functional team of scientists, product managers, software developers, product designers, test engineers, etc. to commercialize new features to bring value to our members.
  • Deliver robust statistical analyses of machine learning models and algorithms for model performance evaluation, monitoring, and for drawing insights to support product decisions. 
  • Conduct early stage exploratory research to identify and characterize new potential health sensing features and functionality.  Develop proof-of-concept features and work with a cross-functional team to take these from POC to a commercialized product.

This is a remote US role with a slight preference for candidates based in San Francisco, San Diego, or Boston. 

We would love to have you on our team if you:

  • Have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, OR a Master degree in related fields with 3+ years of relevant work experience.  Healthcare or health tech experience is preferred.
  • Have 3+ years of solid programming skills in Python and SQL.
  • Have experience with multiple machine learning and statistical modeling approaches.
  • Have a strong understanding of probability and statistics.
  • Have experience developing and validating time-series algorithms.
  • Are self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively.
  • Possess excellent communication skills and can summarize and clearly articulate your work and thinking process to both technical and non-technical team members.
  • Are comfortable working with a diverse and talented group of team members residing throughout the globe, and can accommodate weekly off hour meetings with European colleagues and traveling for onsite meetings up to 3 times per year.

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

  • 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
  • Amazing culture of collaborative and passionate coworkers

Oura 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 $166,500 - $185,000
  • Region 2 $158,175 - $175,750
  • Region 3 $149,850 - $166,500

A recruiter can determine your zones/tiers based on your US location.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

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.

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Average salary estimate

$167425 / YEARLY (est.)
min
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$149850K
$185000K

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What You Should Know About Machine Learning Data Scientist - Women's Health, Oura

At Oura, we’re on a mission to empower every individual to embrace their inner potential, and we’re excited to invite a passionate Machine Learning Data Scientist to join our Women’s Health team. Our innovative Oura Ring and its accompanying app are changing lives by giving our community insights into their readiness, activity, and sleep quality. As a Machine Learning Data Scientist, you’d be at the forefront of developing and commercializing groundbreaking machine learning models tailored specifically to enhance women’s health features. Imagine collaborating with a diverse team of scientists, product managers, and engineers to transform concepts into real-world applications that truly benefit our users! You'll be involved in building and deploying machine learning pipelines, performing statistical analyses, and conducting exploratory research on new health sensing features. We’re looking for someone with a solid programming background in Python and SQL, as well as experience in machine learning methodologies. Your ability to communicate complex ideas to both technical and non-technical team members will be invaluable as we strive to make a positive impact on our users' health and happiness. This role is remote, with a preference for candidates in San Francisco, San Diego, or Boston, and with your expertise, you’ll be able to thrive in our supportive and collaborative environment. If you are self-driven, motivated, and ready to join a company that values well-being and inclusivity, we can’t wait to meet you and see how you can contribute to our mission at Oura!

Frequently Asked Questions (FAQs) for Machine Learning Data Scientist - Women's Health Role at Oura
What qualifications do I need to apply for the Machine Learning Data Scientist position at Oura?

To apply for the Machine Learning Data Scientist role at Oura, candidates should have a PhD in biomedical engineering, electrical engineering, biostatistics, computer science, or a related field. A Master’s degree with 3+ years of relevant work experience is also acceptable, alongside a strong background in Python and SQL. Experience in healthcare or health tech is preferred.

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What will my responsibilities be as a Machine Learning Data Scientist at Oura?

As a Machine Learning Data Scientist at Oura, you will be responsible for building and deploying machine learning pipelines for Women’s Health features, conducting exploratory research on health sensing functionalities, and collaborating with teams to commercialize new features. Your insights and robust statistical analyses will play a crucial role in enhancing product offerings.

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What experience is preferred for the Machine Learning Data Scientist role at Oura?

Oura prefers candidates with 3+ years of experience in programming with Python and SQL, as well as familiarity with multiple machine learning and statistical modeling approaches. Experience in developing and validating time-series algorithms will also be beneficial for this position.

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Is the Machine Learning Data Scientist position at Oura a remote role?

Yes, the Machine Learning Data Scientist position at Oura is primarily a remote role. However, there is a slight preference for candidates located in San Francisco, San Diego, or Boston, to facilitate occasional onsite meetings and collaboration.

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What is the company culture like at Oura for the Machine Learning Data Scientist position?

Oura prides itself on fostering a collaborative and inclusive culture. As a Machine Learning Data Scientist, you will work with a talented, diverse group of professionals who are passionate about health technology and innovation. The company values employee well-being, ensuring team members can thrive both in and out of work.

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What kind of benefits does Oura offer for the Machine Learning Data Scientist role?

Oura offers competitive salaries, equity packages, and comprehensive health insurance. In addition, employees receive an Oura Ring, paid time off, parental leave, wellness time off, and a supportive environment conducive to personal and professional growth.

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How does Oura support career growth for Machine Learning Data Scientists?

At Oura, career growth is a priority! As a Machine Learning Data Scientist, you will be encouraged to explore new ideas, develop skills, and attend workshops or conferences. The collaborative environment and mentorship from seasoned professionals add to the opportunities available for advancement.

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Common Interview Questions for Machine Learning Data Scientist - Women's Health
Can you describe your experience with machine learning models relevant to women’s health?

When discussing your experience with machine learning models, focus on specific projects you've undertaken that relate to women’s health. Highlight the algorithms you utilized, the outcomes of the models, and how your work contributed to valuable insights or product features.

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What programming languages are you comfortable with and how have you used them in previous projects?

Talk about your proficiency in programming languages, especially Python and SQL, as they are crucial for this role. Provide examples of your past projects where you implemented these languages for data analysis, model building, or pipeline creation.

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Describe a challenging project you've worked on and how you tackled it.

During your interview, narrate a project that posed significant challenges. Illustrate your problem-solving abilities by detailing the obstacles you faced, the approach you took to overcome them, and the ultimate impact of your solutions.

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What statistical modeling approaches are you familiar with?

Discuss various statistical modeling approaches you've used, such as regression models, classification algorithms, or time-series analysis techniques. Mention specific projects where you applied these methods and the insights derived from them.

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How do you evaluate the performance of machine learning models?

In your answer, explain the metrics and techniques you use to evaluate machine learning model performance, such as accuracy, precision, recall, or cross-validation. Discuss specific frameworks or tools you've employed in past experiences to ensure the reliability and validity of your analyses.

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Can you share an experience where you collaborated with cross-functional teams?

Illustrate your teamwork and communication skills by sharing an experience where you collaborated with product managers, software developers, or designers. Explain how you contributed to team discussions, facilitated knowledge sharing, and aligned project goals.

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What are your strategies for managing tight deadlines in a project?

Offer insight into your time management skills by discussing your approach to balancing multiple priorities. Share any tools or methodologies you use for project tracking and how you communicate with your team to ensure timely deliveries.

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What do you think is the next big trend in machine learning for health tech?

When discussing trends in health tech, showcase your awareness of advancements such as personalized medicine, AI-driven diagnostics, or continuous monitoring tools. Express how you see yourself contributing to these evolving domains as part of the Oura team.

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How do you approach exploratory research when developing new features?

Explain your systematic approach to exploratory research, detailing your methods for identifying potential health sensing features and how you validate hypotheses before moving to proof-of-concept stages. Emphasize the importance of data-driven decision-making.

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What motivates you to work in the health tech industry?

Share your passion for improving health outcomes and your drive for using data science to make meaningful changes in people’s lives. Connect your personal values to Oura’s mission and explain why you’re excited to contribute to this groundbreaking field.

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O By Oura

Oura was founded in Finland with a singular focus: to improve the way we live our lives.We are here to help you navigate the vulnerability of health through personal guidance, and are unwavering in our commitment to accuracy, validation, and desig...

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Full-time, remote
DATE POSTED
November 25, 2024

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