FAQs
What is the role of a Working Student in Data Science at 1KOMMA5°?
The role involves analyzing time series data related to energy consumption, production, and pricing, developing data analysis models, evaluating ML models, creating dashboards, and collaborating with cross-functional teams to solve complex problems in the energy sector.
How many hours a week are required for this position?
The position requires a commitment of 15-20 hours per week.
What kind of academic background is required for this position?
Candidates should be currently enrolled in a university program in Data Science, Statistics, Computer Science, or a related field.
What programming languages and tools should candidates be familiar with?
Candidates should have strong skills in Python and SQL, as well as experience with data analysis libraries such as pandas, numpy, and scikit-learn.
Is prior experience in the energy sector necessary?
While not strictly necessary, a strong interest in the energy sector and sustainability is required.
What additional skills or experiences could be beneficial for this role?
Bonus points are given for experience with data visualization tools (e.g., Looker), exposure to creating and maintaining data pipelines, knowledge of energy markets, familiarity with renewable energy systems, and experience with cloud platforms, preferably Google Cloud Platform.
What kind of team environment can I expect at 1KOMMA5°?
You can expect a dynamic and highly motivated team environment with flat hierarchies, direct contact with managing directors, and a focus on collaboration in agile settings.
What are some benefits of working at 1KOMMA5°?
Benefits include the opportunity to contribute to the sustainable transformation of energy infrastructure, direct impact on a rapidly scaling user base, learning from skilled engineers, and a healthy work-life balance supported by the EGYM Wellpass.
What are the main projects that a working student might be involved in?
Main projects may include optimization projects in energy management, analyzing time series data, creating dashboards, and collaborating on developing data-driven solutions for energy-related challenges.
Is knowledge of German language required for this position?
Strong communication skills in English are required, and proficiency in German is considered a plus.