Hello Bilnders, I might have a chance to learn and switch my career to data engineering or to be a data scientist. I am looking for inputs on which one would be better, opportunities, salaries, etc... there is nothing like, do what you love in this economy any more... so any other inputs are greatly appreciated !
Data scientist line of work requires heavy statistical interest and knowledge and is much better line of work in my opinion and well paid. Data engineer work requires technical knowledge about databases, schemas, sql, etl (extract transform load). Of course the exact role depends from company to company especially in startups you could do both but big companies have a clear distinction. Hope that helps.
Thanks for your post
I️ feel like it also depends on teams. If your company is starting out with a DS team there is an expectation that you have some DE skills too. DataOps mentality or something?
Data scientist is much better paid if you put in the work and master statistics. Data engineer is easier to pick up if you’re looking for quick turn around. I would not listen to ODYE. I’m a data scientist and am constantly being head hunted. But again, it’s cause i put in the work (phd statistics).
I’m facing a similar struggle and am currently leaning towards DS. Mostly because I don’t want to be a super coder anymore, and because I want to be closer to the business. You have to self evaluate where your strengths are. Are you more of a coder or more skills at analysis (that’s backed by math and data)?
Thanks for that.. I am more of a coder but now thinking to switch
If you have a PHD go DS else go DE. I have worked on ML,Infra,BI,analytics,databases,pipelines as a DE.its a really fun job and I’m getting headhunted like never before. The core research DS roles are great but analytics DS roles are boring.
The game is over for data scientists. There is no career path in it.
Why ?
Based on what?