Data Scientist

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.

**Please note that we are hiring for this role in or near Geneva.**

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

**What skills and experience we think you have**
- ** PhD** in Physics, Mathematics, Statistics, Computer Science, Data Science, or a similarly quantitative field with a strong data analysis component
- ** 2+ years of professional experience** in Data Science or related roles
- ** Strong experience with machine learning techniques**, including both supervised and unsupervised methods
- ** Proficiency in programming for data analysis**, especially with Python and common libraries such as Pandas, NumPy, Scikit-learn, etc. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus
- ** Creative and pragmatic problem solver** with the ability to focus on technical detail without losing sight of the bigger picture
- Able to **work independently** and take full ownership of projects from start to finish
- Strong **organizational and project management skills**, with the ability to juggle multiple priorities
- ** Excellent communication skills** in English, both written and verbal
- ** Collaborative mindset** and a strong team player

**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 work alongside knowledgeable colleagues in the continuous growth and skill enhancement environment
- 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 also find great value in connecting with our teams in person. Most of the MAD team you will be working with is based in Geneva and we would love for you to join us in the office on a weekly basis. For that reason, we hope you are located in or near Geneva.

**Sounds interesting?**

We look forward to hearing from you

**How to apply**

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