Experimentation fundamentals I learned working with the best in the tech industry.
Are you a data scientist who dreams of landing a job at a big tech company but isn't sure what skills you need to get there?
Well, I have a secret weapon that could be just what you need to land your dream job at top tech companies.
A few months ago I wrote this tech-without-mastering-these-6-must-have-data-science-skills-a-spotify-data-8b1b7b8cc0ba” rel=”noopener”>article about all the essential skills you need to get hired by top tech companies, and today we're going to focus on one of those crucial skills: Experimentation.
Experimentation is a statistical approach that helps us isolate and assess the impact of product changes – feature releases, UX updates, and everything in between!
But why is experimentation so important to stand out among other data scientists?
It's simple. The biggest tech companies are all about creating great products, and experimentation is a key tool for doing so.
If you can become an expert in experimentation, you will have a significant influence. advantage over other candidates because most job seekers overlook this skill and don't know how to develop it.
