Senior Data Scientist

Genève, Switzerland

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Natural Cycles° is a leading women’s health company that developed the world’s first birth control app, used by millions globally. We are a fast growing startup, and we promote an international working environment filled with smart and ambitious colleagues based in Stockholm, Geneva, New York, and remotely. Our mission is to pioneer women’s health through research and passion, empowering every woman with the knowledge she needs to take charge of her health.

As part of the MAD team (Medical Algos and Data) you will help harness all the potential of our data and use it for a variety of different purposes, from developing new algorithms to improve our product, to doing research in the underserved areas of women’s health.


What you will be doing

  • Drive research initiatives to both advance the scientific understanding of menstrual and reproductive health and to continuously assess and validate the performance of Natural Cycles as a medical device, working closely with academic partners and healthcare professionals (HCPs)

  • Develop and maintain algorithms that are central to the functionality of the Natural Cycles app — including those for cycle and fertility predictions, wearable sensor data integration, and personalized user experiences

  • Contribute to scientific publications in peer-reviewed journals and present findings at conferences and workshops

  • Perform data-driven analysis of user behavior to inform product development and enhance user engagement and outcomes

  • Collaborate with cross-functional teams (e.g., product, medical, engineering, and PR) to translate research findings into user-facing features, product improvements, and public communication efforts that promote scientific literacy, support advocacy in women’s health, and build trust in the Natural Cycles brand

  • Stay up to date with relevant scientific literature and industry trends in digital health, women’s health, and machine learning applications

  • Engage with key external stakeholders, including academic collaborators, healthcare professionals (HCPs), and key opinion leaders (KOLs), to shape research direction and promote scientific impact

  • Participate in strategic decision-making and long-term planning, helping to set the direction for the team’s research agenda and the development of new features and technologies aligned with company goals

  • Manage junior team members, taking on a leadership role in guiding their professional development, overseeing their work, and ensuring effective project execution while fostering a collaborative team environment


What skills and experience we think you have

  • PhD in Physics, Mathematics, Statistics, Computer Science, Data Science, or a similarly quantitative discipline

  • 5+ years of professional experience in Data Science or a closely related field, ideally in a tech-driven or research-oriented environment

  • Proven track record of applying machine learning and statistical modeling to real-world problems and delivering measurable business or product impact

  • Advanced programming proficiency in Python and key data science libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, etc.); experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus

  • Strong statistical expertise, including experimental design, hypothesis testing, Bayesian inference, and causal inference

  • Experience with end-to-end project ownership, from problem scoping and data exploration to model deployment and stakeholder communication

  • Ability to translate complex data insights into actionable recommendations for both technical and non-technical stakeholders

  • Experience mentoring junior team members or leading small project teams; willingness to contribute to team development and knowledge sharing

  • Excellent communication skills in English, both written and verbal; able to convey complex concepts clearly and concisely

  • Strong collaboration skills, with a demonstrated ability to work cross-functionally with product, engineering, and business teams

  • Comfortable working in a fast-paced environment, balancing long-term projects with short-term priorities


What we offer

  • Flexible work arrangement - you will be part of a team based in and around Geneva that values effective collaboration and transparent communication, irrespective of work location

  • Professional development - you will collaborate with industry leading developers, promoting continuous growth and skill enhancement

  • Modern technology - you will leverage innovative technologies and tools, within an environment that empowers you to contribute ideas and take ownership of your work

  • Impactful projects - you will contribute to groundbreaking projects that redefine industry standards and create tangible value

  • Commitment to quality - you will join a dynamic and progressive organization that prioritizes profitable, long-term product development


Location

We are remote-friendly, but we find great value in being able to connect with our teams in person. Most of the MAD team you will work with is located in Geneva. 


Sounds interesting?

If you want to be part of a successful team, we encourage you to apply for this position as soon as possible.

We look forward to hearing from you!


How to apply

To apply, just upload your CV and answer the questions on the application form. Keep in mind that we can't accept applications through email because of GDPR, and only applications submitted via the career site (and in English) will be considered.

At Natural Cycles we value diversity and inclusion because we know that teams with people from different backgrounds and experiences are stronger. We welcome candidates from all walks of life and are committed to creating an inclusive environment for all employees and candidates.

Note: We are not looking for consultants or help from recruitment agencies

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Bayesian Causal inference Computer Science Deep Learning Engineering Machine Learning Mathematics Model deployment NumPy Pandas PhD Physics Python PyTorch Research Scikit-learn Statistical modeling Statistics TensorFlow Testing XGBoost

Perks/benefits: Career development Conferences Flex hours Startup environment

Region: Europe
Country: Switzerland

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