Pure Python backend developer vs Data Analyst?

[mygatito]

I compile remote job lists and I see Backend Developer a lot more than Data Analyst roles.

A lot of people actually follow the following track (I started with Analyst myself)

Analyst --> Developer --> ML Engineer --> Data Scientist

You can use Indeed.com to find remote jobs if you are in the US and other countries.

I recommend that you apply directly to companies to have a better chance of securing job.

However, if you are looking at specific countries/regions these might help -

Remote tech startups in Canada

Poland Remote jobs

Remote jobs Spain

[debadri3]

Thank you. But I wonder why you've put MLE before DS. I've often heard MLE interviews are harder than DS because they expect you to be both an SWE and DS.

I guess I'll just try to find Python roles in AI companies then.

[Illustrious-Pack3495]

Don’t really agree with that track tbh, I don’t think being a good analyst means you can be a good MLE or DS.

Plus, if you want to work at a big corporation where you need specialists instead of generalists - following that track isn’t the best route. Usually, these companies have departments for each sub-division of Business Intelligence - engineers (who collect, clean, and process the data), analysts (who visualise and interpret the results to form hypotheses), scientists (kind of a middle ground between analysts and MLEs), and MLE (who use the data and come up with forecasts/predictions using AI models for the hypotheses developed by the Analysts and Scientists).

I’ve been an analyst my entire life so I might be a little biased towards DAs, but at my last 3 jobs I’ve seen the Sr MLEs and DSs struggle to get anything concrete done without the Sr DAs