Data Science Working Student (m/f/d) - Gigafactory Berlin-Brandenburg
Job Summary
Job Description
The Data Science Working Student position at Tesla's Gigafactory Berlin-Brandenburg offers a chance to contribute to the Quality Data Lab. Responsibilities include preparing presentations and workshops, assisting in developing dashboards and ETL pipelines, contributing to code deployment, and participating in problem-solving efforts. The role involves working closely with stakeholders to refine problem statements, conduct analysis, and use results to inform decisions. Strong Python and SQL skills are essential, as is experience with data visualization tools. The ideal candidate is a proactive problem-solver with excellent communication skills and the ability to thrive in a fast-paced environment. This internship provides valuable experience in data science within a manufacturing context.
Must have:
- Proficiency in Python & SQL
- Data visualization experience (Dash, Plotly, etc.)
- Strong problem-solving skills
- Excellent communication skills
- Experience in professional software development
Good to have:
- Statistics and machine learning foundation
- Experience building ML models
- CI/CD experience
- DevOps experience (Docker, Kubernetes)
8 skills required
Job Details
What to ExpectWhat You’ll Bring
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
- 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
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