Chartmetric is a company doing a tool for radio stations and music professionals that creates playlists and offers analytics about the data related to artists and trending music. Are you interested in data engineering, especially in the music space? They track 1.3 million artists around the world, 1 million playlists, across all social media, as well as streaming services such as Spotify, Apple Music, and Deezer. They have 2 years' worth of data for many artists, and have REAL customers who pay $120 monthly. They are profitable even if they are founded only founded a few years ago.
The team consists of UCLA Anderson, Stanford CS, and NYU MS, and Carnegie Melon MS graduates and now they are looking for someone to join their powerful engineering team, who will learn from our experiences and mistakes, and also inspire us to get better!
We have built 70+ python scripts that collect the data across different platforms using API calls. Those scripts also work on cleaning up the data, to make sure we have data of integrity. Your job is to help us on this. You will learn so much, that someday you would be able to launch a competitor app of our company's.
- Experience in data collection and scraping
- Experience in Python and ML algorithms
- At least 1 years of working experience at a relevant position
- Experience shipping production ready features to the product
- Working experience in a startup is a plus
More information: https://chartmetric.io/product