FAQs
What is the primary focus of the Working Student Data Science position?
The primary focus of this position is to contribute to data-driven solutions in the energy sector by analyzing time series data, developing data analysis models, and collaborating with cross-functional teams.
What qualifications are required for this position?
Candidates must be currently enrolled in a university program in Data Science, Statistics, Computer Science, or a related field, and have strong skills in Python and SQL.
How many hours are students expected to commit weekly?
Students are expected to commit 15-20 hours per week.
Are there specific programming skills that are important for this role?
Yes, strong skills in Python and SQL are essential, along with experience in data analysis libraries like pandas, numpy, and scikit-learn.
Is prior experience in data visualization required for this position?
While not required, experience with data visualization tools such as Looker is considered a bonus for candidates.
What kind of data will be analyzed in this role?
The role involves analyzing time series data related to energy consumption, production, and pricing.
What opportunities for career growth are available in this position?
The role offers the chance to work with skilled engineers, have direct contact with managing directors, and see the direct impact of your work, all of which can provide valuable experience for future career opportunities.
Is knowledge about the energy sector necessary for this job?
A strong interest in the energy sector and sustainability is important, and exposure to energy markets and renewable energy systems would be beneficial.
What kind of team environment can candidates expect?
Candidates can expect to work in a dynamic and highly motivated team with flat hierarchies and a collaborative agile work environment.
Are language skills important for this role?
Strong communication skills in English are essential, and proficiency in German is considered a plus.