Data Scientist

inne is the next generation of female health tech enabling natural contraception and fertility care.
We are an interdisciplinary team who has seen first hand how womens need for female health education and accurate fertility insights have been underserved.
We have developed our first innovative biotech product which enables women to analyse fertility hormones in their saliva.
With this insight we want to follow our mission to help women tune into their bodies and make informed decisions about their fertility sexuality and overall female health!
We are pushing the boundaries of science technology and design and are guided by our values.
If you want to be part of creating a wave in female health you have come to the right place!

- Be responsible for the continuous improvement and expansion of the inne hormonal algorithm
- Perform in-depth analysis and build models on top of the rich hormonal and user input data of inne
- Contribute to the continuous optimization and implementation of best practices and adoption of new technologies in the data science and tech team
- Own data science projects end-to-end from problem-framing to production and monitoring
- Collaborate with our diverse team of developers embedded engineers designers product managers and scientists
- Have a direct impact on the inne MINILAB

- Programming Experience in Python and in bringing ML/AI code into production
- PhD or MSc in statistics physics mathematics computational biology or any similar field
- 4 years of work experience in the tech industry
- Understanding of key statistical concepts and the ability to perform and interpret data analyses
- Experience in working closely with product team and designer to deliver user-centric solutions
- Working experience in an Agile/Scrum methodology
- Knowledge of SQL cloud platforms BI tools is a plus

- Competitive salary
- Hybrid work and flexible working hours
- Sports membership
- Beautiful central and pet-friendly office location in Berlin
- An opportunity to work in a fast-growing well-funded startup that has developed its own innovative product
- A fun and friendly work environment with a diverse group of motivated talented and visionary colleagues