Python Job: Data Science Internship (m-w-d) - Gigafactory Berl

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Grünheide (Mark) - Germany

Job type


Python Job Details

What to Expect

Location: Gigafactory Berlin

Duration: 6 months

Time type: Full time

Start date: As soon as possible

We are the Quality Data Lab, central to the data science and analytics efforts at Giga Berlin. You will be supporting our team in day-to-day business tasks by preparing presentations, workshops and coding task. You will also assist with the development of dashboards and ETL pipelines, code deployment, and be part of problem-solving efforts. Our fast-paced, multicultural environment provides opportunities for data science, analytics and engineering in the manufacturing domain, no matter where your passion lies.

What You’ll Do
  • Getting an impression of how to build a Datalab and how to manage data projects

  • Getting involved in coding and developing ETL pipelines so that you can further improve your coding skills

  • Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions

  • Creating meaningful visualizations and preparing presentations

  • Assisting in designing, the development and the deployment of data-driven solutions

  • You will work in close collaboration with other team members on complex problem solving and coding tasks

What You’ll Bring
  • Strong proficiency in Python, SQL

  • Experience writing software in a professional environment

  • Experience building data visualizations and dashboards (Dash, plotly, matplotlib, panel…)

  • Pursuing a degree in Data Analysis for Business Intelligence, Big Data, or similar

  • Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data

  • Strong verbal and written communication skills. Clearly documenting your work is key

  • Smart but humble, with a bias for action

  • Able to work in a fast-paced environment while working on multiple tasks at hand

  • Strong foundation in statistics and machine learning is a big plus

  • Experience building machine learning models in a professional environment is ideal but not compulsory

  • Bonus points if you have experience with continuous integration and continuous development

  • Experience in devops, i.e. Docker, Kubernetes is highly appreciated