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Demand and Salaries for Data Scientists Continue to Climb

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Re: Demand and Salaries for Data Scientists Continue to Climb

#11

Post by lsc »

pbalau wrote: post #10
lsc wrote: post #9

Earlier quoted context omitted.

It's relevant to nearly everyone who would be interested in the title of the article, though.

how? if profession A gets more demand and pay, does it matter if profession B gets more or less? Is it that damn important if A makes more than B or if B makes more than A?

I'm assuming most people who are interested in the title are interested as part of the research one does to decide in what direction they ought to advance their career.

If I'm choosing to train up for job A or job B, I mean, money certainly isn't the only consideration, but it's certainly a very important consideration.

Re: Demand and Salaries for Data Scientists Continue to Climb

#12

Post by thucydidesofusa »

pbalau wrote: post #10
lsc wrote: post #9

Earlier quoted context omitted.

It's relevant to nearly everyone who would be interested in the title of the article, though.

how? if profession A gets more demand and pay, does it matter if profession B gets more or less? Is it that damn important if A makes more than B or if B makes more than A?

It matters when profession A and profession B are as related as data science / data engineering / software engineering.

I'm not arguing that there's no distinction between the fields, just that people who excel in one can usually do a passable job working in the others. Or rather, you have to have passable skills in the other fields to excel at your chosen field.

Re: Demand and Salaries for Data Scientists Continue to Climb

#13

Post by didibus »

throwaway713 wrote: post #3

Compensation may be going up, but at top tech companies, software engineers still make significantly more than data scientists for the same level (twice the RSUs). I’ve noticed at non-tech companies, the reverse seems to be true: data scientists make slightly more than software engineers.

My experience at big tech is that software engineers kinda do it all. It's almost DevOpsPmDbaDsDeMle. Where Ds is data scientist, De is data engineer and Mle is machine learning engineer.

And ML scientists are just SE with PhDs in ML.

Basically, they tend to try and not create seperate isolated roles in specialized domains, but instead hire people who can do and figure it all.

The opposite seems true in smaller companies. They break things up, try to hire different roles, specialist in different domains, and segregate each one from one another.

Obviously, mileage may vary, and I'm doing a massive generalisation of big and small businesses, but this is just my observation.

Re: Demand and Salaries for Data Scientists Continue to Climb

#14

Post by greenhatman »

pbalau wrote: post #10
lsc wrote: post #9

Earlier quoted context omitted.

It's relevant to nearly everyone who would be interested in the title of the article, though.

how? if profession A gets more demand and pay, does it matter if profession B gets more or less? Is it that damn important if A makes more than B or if B makes more than A?

It's relevant for software engineers who read the title and consider going into data science instead.

Re: Demand and Salaries for Data Scientists Continue to Climb

#15

Post by jriot »

greenhatman wrote: post #14
pbalau wrote: post #10

Earlier quoted context omitted.

how? if profession A gets more demand and pay, does it matter if profession B gets more or less? Is it that damn important if A makes more than B or if B makes more than A?

It's relevant for software engineers who read the title and consider going into data science instead.

Except most software engineers aren't qualified to go into data science.

Re: Demand and Salaries for Data Scientists Continue to Climb

#16

Post by spamizbad »

throwaway713 wrote: post #3

Compensation may be going up, but at top tech companies, software engineers still make significantly more than data scientists for the same level (twice the RSUs). I’ve noticed at non-tech companies, the reverse seems to be true: data scientists make slightly more than software engineers.

(Disclaimer: generalization ahead) That might be because they're starting to get hip to the fact that too many data scientists struggle to produce professional-level code, forcing you to pay a software developer to create the actual deliverable from their prototype. At that point, why not just hire a really bright software engineer who can code well and knows how to work with data?

Re: Demand and Salaries for Data Scientists Continue to Climb

#17

Post by mkl »

jriot wrote: post #15
greenhatman wrote: post #14

Earlier quoted context omitted.

It's relevant for software engineers who read the title and consider going into data science instead.

Except most software engineers aren't qualified to go into data science.

The appropriate knowledge can be acquired if you put in effort. This information is useful for those deciding whether the effort is worth it.

Re: Demand and Salaries for Data Scientists Continue to Climb

#19

Post by tmp092 »

throwaway713 wrote: post #3

Compensation may be going up, but at top tech companies, software engineers still make significantly more than data scientists for the same level (twice the RSUs). I’ve noticed at non-tech companies, the reverse seems to be true: data scientists make slightly more than software engineers.

Does Google even have a "Data Scientist" title? I don't think I've ever come across a JD for one.

Re: Demand and Salaries for Data Scientists Continue to Climb

#20

Post by minimaxir »

throwaway713 wrote: post #3

Compensation may be going up, but at top tech companies, software engineers still make significantly more than data scientists for the same level (twice the RSUs). I’ve noticed at non-tech companies, the reverse seems to be true: data scientists make slightly more than software engineers.

People conflate data scientists, data engineers, and software engineers. Although there is strong overlap between all 3 disciplines, and it benefits to know all 3 disciplines, the day to day responsibilities of all 3 are very different.

Startups try to hire people with double/triple disciplines to reduce costs though.

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