Working student Data Science (all genders)

Would you like to contribute your skills as a working student in the field of data science in a start-up with an innovative product? If you're ready to take on responsibility, you've come to the right place - because we offer you many opportunities to get involved!

These tasks await you:

• Data exploration and preparation

• Initial analysis of new machine data

• Testing and comparing various methods in the field of machine learning / AI

• Establishment and further development of automated data processing pipelines

• Participation in the development of AI methods in the field of xAI, unsupervised learning or domain adaptation

What you should bring with you:

• Very good experience with Python and relevant packages (esp. Pandas, NumPy/SciPy, TensorFlow or PyTorch, scikit-learn, Plotly)

• Very good knowledge of German or very good knowledge of English

• Good knowledge of statistics/stochastics

• Basic knowledge of sensors and sensor data (not mandatory)

• Advanced studies and enrolment in computer science, mathematics/statistics, physics or comparable (but we are also open to applications from other fields!)

What we offer you in return:

• Flexible working hours, hybrid working model - whether fully remote or in our modern city center office 

• Central location of the office, good public transport connections  

• Flat hierarchies with our founders Lena and Felix and an open feedback culture  

• Unique team atmosphere - we live exchange, team spirit and respectful and appreciative interaction with each other   

• Intensive onboarding & induction process with your personal buddy  

• Of course, we also offer the obligatory free hot and refreshing drinks  

• We are currently working on further benefits for you ;-) 
   

Of course we do not expect candidates to meet all our requirements. If your experiences look a bit different and you believe you can add value to this position, we'd still love to hear from you. 
 

Convince us of your skills and show us why you're the perfect fit for our team. We look forward to meeting you!