This is what Tesla uses for data science

Manpreet Singh
3 min readJul 23, 2021

Welcome back! Tesla is a massive company that employs tons of data scientists, so let’s see what Tesla uses for their data science teams. Now, the process of me finding this information was fairly basic, I went to their career page, searched for Data Science positions, and noted the most frequent languages, packages and tools I saw them use:

Let’s see what they use!

The Languages

Starting off, one of the most important things with data science is the programming side to it, these were the programming languages I saw them require the most:


This is a no brainer, tons of companies use Python as it is one of the most popular programming languages out there. This language has a ton of packages available for it for data science as well, this is probably the most important language Tesla uses for data science.


Another very important language that Tesla uses is SQL, this is definitely the building blocks of alot of data science related projects. SQL allows us to essentially build / talk to databases, so if you’re planning on applying to Tesla, you will need to know this language.


Next up we have R, another very popular statistical language used by Tesla. R’s main ability is data processing / data manipulation, there are also tons of packages available for this language as well!


Finally we have MATLAB, a fairly popular programming language used at Tesla as well. Here’s the thing, I think MATLAB is super important, but the barrier to entry is fairly high due to the license that’s required to code with this, I did notice that many of the data science positions didn’t really require this language.

Machine Learning Packages