Job description

Natural Cycles is an international working environment filled with smart and ambitious colleagues working in Stockholm, Geneva, New York and remotely. Our mission is to pioneer women’s health with research and passion - by empowering women with the knowledge they need to be in charge of their health.

We’re looking to hire a Data Scientist who thrives in a fast-paced, data-driven environment and is inspired to use their talents to help us in our mission to pioneer women's health with research and passion. 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

  • You will optimize and develop new algorithms, to improve and expand our product and bring even more value to our users
  • You will work closely with other teams in the company, supporting them by providing relevant insights
  • You will conduct research on our unique data, collaborating with leading experts in the field of women’s reproductive health
  • You will work daily with the other data scientists and our Medical Affairs Manager

What skills and experience we think that you have

  • PhD in Physics, Mathematics, Statistics, Computational Science, Data Science or similar data-analysis-heavy fields
  • 2+ years of professional experience in data science or related fields
  • Extensive experience with Machine Learning techniques
  • Very good experience with programming languages used for Data Science (preference for Python and its common libraries, e.g. Pandas, Numpy, Scikit-Learn, etc.)
  • Have a sound understanding of statistics
  • Creative and pragmatic approach to problem solving with the ability to focus on details while maintaining the “big picture” view
  • Able to work independently and drive projects to the finish line. You have great planning and organizational skills with an ability to manage several projects at the same time
  • Excellent written and verbal communication in English
  • Excellent team player

How to apply

Apply by uploading your CV and answering the questions in the application form. Please note that we do not accept any applications through email due to GDPR and only applications submitted through the career site (and in English) will be considered.

We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences and are committed to creating an inclusive environment for all employees and candidates.

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