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 with dashboard and ETL pipeline development, code deployment, and problem-solving. The role involves working with stakeholders to refine problem statements and use data-driven results for informed decisions. The successful candidate will collaborate on complex tasks and create meaningful visualizations. The position provides exposure to building a datalab, managing data projects, and improving coding skills using Python and SQL. Experience with data visualization tools (Dash, Plotly, Matplotlib, Panel) is essential.
Must have:
- Strong Python & SQL proficiency
- Software development experience
- Data visualization skills
- Problem-solving abilities
- Excellent communication skills
Good to have:
- Statistics & machine learning foundation
- ML model building experience
- CI/CD experience
- DevOps (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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