Data Scientist Vs Software Engineer Salary Reddit
The difference is that data science is more concerned with gathering and analyzing data whereas software engineering focuses more on developing applications features and functionality for end users. In 2016 these numbers were 131k and 132k respectively.
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Data scientists however design algorithms for companies to use with their data.
Data scientist vs software engineer salary reddit. Software engineer vs data scientist quick facts. Lost stem grad to fulltime dev startup. 161k base 292k tc data scientist google.
128k base 185k tc facebook. Conversely data science has only recently exploded onto the scene. Almost every company has an opening for a software engineer at some point in time.
Facebook are as follows. You have to start becoming a data scientist to actually start making amazing money. The median salary for a mid level data scientist is 128 750 while web developers made a median salary of 67 990.
Devops engineers create the software customers download straight from the internet. Data science and software engineering both involve programming skills. Data scientist at google vs.
I ve felt my growth as an engineer in my team is stagnant and want to try something new. In 2015 software engineering paid an average of 129k while data analytics paid 133k. Data engineer salary vs.
In addition software engineering is a well established field. I did it thanks reddit. Posted by 3 years ago.
Backend software engineer salary. 5 using salary data from the salary project we see that the median base salaries and total comp tc for software engineer vs. 130k base 230k tc microsoft.
Hired s 2018 state of salaries report found that data analytics roles pay similarly to software engineering roles both bringing in an average of 137k in 2017 and tracking similarly in past years. Hey all currently a backend developer in melbourne with quite a few sysadmin and ops responsibilities with 1 5 yoe. 132k base 210k tc.
Does that mean it s better to become a dat. Data science vs software engineering. Not every company will need a data scientist.
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