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Working Student Data Science (m/w/d)

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1Komma5°

1mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Berlin

AI generated summary

  • You must be enrolled in a relevant university program, skilled in Python and SQL, familiar with data analysis libraries, and have an interest in the energy sector. Team player with strong English skills needed.
  • You will analyze energy data, develop analysis models, evaluate ML forecasting, create Looker dashboards, and collaborate with teams to address energy sector challenges.

Requirements

  • Dein Profil
  • You are currently enrolled in a university program in Data Science, Statistics, Computer Science, or a related field
  • You are able to commit 15-20 hours per week
  • You have strong skills in Python and SQL
  • You have experience with data analysis libraries (e.g., pandas, numpy, scikit-learn)
  • You enjoy problem-solving, analyzing data, and deriving insights
  • You enjoy writing clean, maintainable, and reusable code that's easy to test
  • You are familiar with time series analysis techniques and have a basic understanding of machine learning concepts
  • You have a strong interest in the energy sector and sustainability
  • You have a team-oriented mindset, like working in agile environments, and value close collaboration with your teammates
  • You have strong communication skills in English; German is a plus

Responsibilities

  • Analyze time series data related to energy consumption, production, and pricing
  • Develop and implement data analysis models to derive actionable insights
  • Evaluate ML models for their suitability for forecasting energy demand and supply
  • Create dashboards in Looker to monitor the performance of the Energy Management
  • Collaborate with product managers, engineers, and other stakeholders to solve complex problems in the energy sector

FAQs

What is the location of the Working Student Data Science position?

The position is based in Berlin, Germany.

What are the working hours expected for this role?

You are expected to commit 15-20 hours per week.

What type of data will I be working with in this role?

You will primarily analyze time series data related to energy consumption, production, and pricing.

Is experience with machine learning required for this position?

A basic understanding of machine learning concepts is required, and experience evaluating ML models for forecasting energy demand and supply is a plus.

What programming languages and tools should I be familiar with?

Strong skills in Python and SQL are required, as well as familiarity with data analysis libraries like pandas, numpy, and scikit-learn.

Will I be collaborating with other teams?

Yes, you will collaborate with product managers, engineers, and other stakeholders to solve complex problems in the energy sector.

Is knowledge of the German language necessary for this position?

Strong communication skills in English are required, while knowledge of German is a plus but not mandatory.

Are there any additional qualifications that could enhance my application?

Yes, experience with data visualization tools (e.g., Looker), maintaining data pipelines, knowledge of energy markets, and familiarity with cloud platforms like Google Cloud Platform would be considered bonus points.

What benefits do I receive from this position?

You will be part of a dynamic team, have direct contact with managing directors, see the impact of your work, and enjoy benefits related to a healthy work-life balance through the EGYM Wellpass.

What kind of projects will I be involved in?

You will contribute to optimization projects and data-driven solutions in the energy sector, helping to accelerate the energy transition.

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1Komma5°

Energy
Industry
1001-5000
Employees
2021
Founded Year

Mission & Purpose

1KOMMA5° aims to accelerate the transition to renewable energy by providing comprehensive solutions for climate-friendly living. They integrate solar energy, heat pumps, and electric vehicle charging stations into a unified system for homes, enabling people to live sustainably. Their ultimate mission is to limit global warming to 1.5 degrees Celsius by driving mass adoption of clean energy technologies. Their purpose is to make sustainable energy accessible, affordable, and efficient for everyone.