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Software Engineering Internship (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla • 🌐 In Person

In Person Posted 1 week ago

Job Description

What To Expect

Location: Gigafactory Berlin-Brandenburg

Time Type: Full time

Duration: 6 months

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.

What You'll Do

Getting an impression of how to build data team and how to manage data projects

Supporting in coding and developing ETL pipelines so that you can further improve your coding skills

Work with stakeholders to take a 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

Currently enrolled in BS/MS Computer Science or related field

Advanced proficiency in Python, SQL, JavaScript

Skilled in 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

Excellent 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:

Proficient working with FastAPI, React

Skilled with continuous integration and continuous development

Experience in devops, i.e. Docker, Kubernetes

, Tesla

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