Data Scientist Internship (m/w/d) - Gigafactory Be...

Company:
Location: Berlin

*** Mention DataYoshi when applying ***

Location: Grünheide
Start date: August
Duration of the internship: 6 months

The internship assignment

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.

Learning goals & Tasks

  • 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

Requirements

  • Strong proficiency in Python, SQL
  • Experience writing software in a professional environment
  • Experience building data visualizations and dashboards (Dash, plotly, matplotlib, panel…)
  • 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

Nice to have

  • Strong foundation in statistics and machine learning
  • Experience building machine learning models in a professional environment
  • Experience with continuous integration and continuous development
  • Experience in devops, i.e. Docker, Kubernetes

*** Mention DataYoshi when applying ***

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