Posted on 01/28/2018 7:17:46 AM PST by SeekAndFind
As companies try to understand consumer behavior, data scientists are in high demand. Boasting a median base salary of $110,000 and a job-satisfaction score of 4.4 out of 5, data scientist was ranked No. 1 on Glassdoor’s “Best Jobs in America” list in 2016, 2017 and 2018. The report released this week is based on the number of job openings, salary and overall job satisfaction. It was followed by devops engineers ($110,000 a year), which combines development, testing and operations. Nearly 40% of people, including 56% of millennials, are job hunting it added.
But data scientists have competition. A separate report released by the U.S. News & World Report lists software developer as the No. 1 job based on data from the U.S. Bureau of Labor Statistics. Like data scientist, a software developer has a median annual salary of over $100,000 per year and are employed in computer systems design, app design, manufacturing and finance. The study looked at work-life balance, salary and other areas of career development. (Dentist was No. 2, followed by physician assistant and nurse practitioner.)
Data scientists and software developers use programming language such as Python (sought after in 72% of Glassdoor data scientist job postings), followed by R (64%), SQL (51%), Hadoop (39%) and the more well-known Java (33%). Core data scientists who are likely to be proficient in Python, R and SQL and estimated to make $116,203 a year. Google (GOOG) Aetna (AET) and Microsoft (MSFT) typically hire these.
The top programming languages are Java, Python, JavaScript and C++, according to TechRepublic.com. How you teach a computer to drive like a human Nvidia's general manager of automotive, Rob Csongor, breaks down how artificial intelligence can teach a supercomputer to drive just like (or even better than) a human.
(Excerpt) Read more at msn.com ...
Looking around from years of SQL and Python, began playing with R a while back.
Makes the old brain wiggle quite a bit. Un-initiates don’t believe it’s possible to get usable stuff out of mountains of data.
“Any sufficiently advanced technology is indistinguishable from magic.” ACC
Don’t think I’ll have the time to get very good with it, but keeps me thinking I’m still young.
Because: science.
Whoever wrote this might benefit from ESL classes.
The only lasting IT career in these times is being "The Computer Guy" for a small, successful company. You may be doing this kind of data science one day, Excel financial reports the next, and changing out a bad video card the day after that, but your personal relationship with the key players will ensure your local skill set will always be in demand.
You have to be able to do it all. Like Robert Heinlein said, "specialization is for insects." :)
RE: Don’t think I’ll have the time to get very good with it, but keeps me thinking I’m still young.
Are you retired? Or are you still working in the IT Field?
IDK, data scientist sounds like a job that could be replaced by a computer in a few years.
Sometimes it is what is not in the data that is the nugget you are looking for.
AI developments are already in progress to program nearly all these $100,000 jobs out of existence within the next decade.
Need a new system or app or software or data-analytical, or text writing component in ANY currently employed programming language? An AI app will ask all the right questions, take your answers and write the code, even selecting the proper language to do it. Another AI app will properly test and deploy the result. Jobs? One, to give the AI apps some answers to some questions. Programming languages needed to know? None.
AI programs will even start developing new programming languages of their own. That has already happened with three major, separate corporate (different companies) AI projects that were each temporarily shut down when their human monitors realized their AI bots were communicating in code the monitors did not give them and did not understand.
“Conventional” engineering majors (electrical, mechanical, civil etc) are still really good degrees to have and the pay is excellent. 33 years ago when I earned my engineering degree I had multiple job offers six months before I graduated. I ‘m still only midway through my senior engineer pay grade and I make $150k and change. I am so thankful I stumbled into engineering as a profession!
The young (mainly) electrical engineers my company is now hiring get starting salaries of $50k to $60k, and all of the ones I know received multiple job offers before they graduated.
Some midcareer RN’s make that much depending on shift diff and occaisional overtime...someone I know cleared 135k working one overtime shift a pay period.
‘Data Scientist’ is nonsensical. Scientists explore knowlege with repeatable experiments, hence the ‘science’ in scientist. A data analyst, however is a much more appropriate term.
I was using SAS as a data analyst at Pac Bell in the 80’s. SAS has a two-pass variable resolution that allowed macros to build execution macros on the fly. Used it to read the Toll system tapes and found the employees who were scamming a radio call-in contest. Data Analyst. Not science.
“The only lasting IT career in these times is being “The Computer Guy” for a small, successful company. “
Bitter nonsense.
There are still thousands of IT jobs over $100k/yr in every city in America that will not be supplanted by AI.
IT Infrastructure.
Routers/switches/SANS/Servers/Infrastructure Applications.
And, you cannot have somebody offshore install HW here.
And par for the course for Geezer Freepers.
I wish your daughter nothing but the best! :0)
Thanks.
“Routers/switches/SANS/Servers/Infrastructure Applications”.
There are already AI projects designing the firmware and software for that infrastructure as well as robot installers connected to AI bots in the cloud to assist with any unforeseen situation.
If “driverless cars” win out, do you really think robots “driving” them on company business is not far behind?
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