Data Scientist (Machine Learning) - 5-15 h/w, Berlin - Startup
Are you interested in developing your machine learning skills with real data challenges? Do you want to help build a startup from the ground up? Do you want to make some money on the side? Are you interested in making renewable energy a success? If you can answer these questions with yes, you should apply...

5 - 15 Stunden pro Woche
Zwischen 10.00€ und 15.00€ pro Stunde
What are you going to do:
- Our team aims to connect power trading, renewable energy production and electricity storage through advanced real-time software. We aim to create a new digital energy ecosystem and need your help.
- python, pandas, tensorflow and other data science frameworks
- experience with reinforcement learning is a bonus
- experience with risk estimation is a bonus
What we offer:
- learning opportunities
- load to learn, highly flexible working hours
- A friendly team of experienced software developers and entrepreneurs (exciting startup atmosphere)
- A common passion to make the electrification of our planet 100% renewable
What we ask:
- Eingeschriebene/r Student/in an einer staatlich anerkannten Hochschule Computer Science, Statistics or Mathematics background
- Data crunching
- Python
- Pandas
- Computer Science, Mathematics or Statistics Background
- An inherent interest in working with data and a strong attention to detail
- Curiosity and willingness to learn - not only about Artificial Intelligence; German is a plus
Apply
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Extra information
**Please apply in English or German**
- Status
- Inaktiv
- Education Level
- Abitur, Andere, Fachabitur, Hochschule/Universität
- Location
- Berlin
- Working hours per week
- 5 - 15
- Type of Contract
- Werkstudentenstelle
- Salary indication
- Zwischen 10.00€ und 15.00€ pro Stunde
- Responsible for
- Machine Learning, Neural Networks, Data Analysis
- Profession type
- IT / Software-Entwicklung / Programmierung, Management
- Full UK/EU driving license preferred
- No
- Car Preferred
- No
- Cover Letter Required
- No
- Languages
- Englisch, Deutsch
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