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USGS Data Science

12 Aug, 3 tweets, 3 min read

@USGS_Water

A look at #streamflow conditions across @USGS_Water streamgages the for the month of July - dry conditions increased in western states while it was wetter than normal in others 💧🌞
#rstats #r4ds #dataviz

Code: github.com/USGS-VIZLAB/vi…

With the cartogram we see some spatial variability in flow conditions, but it can also vary temporally. Looking at the past year of streamflow, the greatest proportion of gages in dry conditions occurred Aug-Oct while the greatest proportion in wet conditions occurred Mar-May.

https://twitter.com/USGS_Water/status/1425139958252253190

See the latest U.S. River Conditions #animation showing flow levels at streamgages from April to July:

https://twitter.com/USGS_Water/status/1425139958252253190

#dataviz #remix

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@USGS_DataSci

8 Mar

@USGS_DataSci

Here’s the scoop on the #datascience #jobs @USGS_DataSci. We’ll soon be hiring for several:

- #MachineLearning Specialists (a few at the National Water Center in Tuscaloosa, AL, a few remote)

- Data Scientists (a few at the NWC, a few #remotework)

1/22

WHERE TO APPLY: The descriptions aren’t posted on USA Jobs quite yet, but we’ll post links to them here on Twitter and at our Data Science Blog as soon as they are. waterdata.usgs.gov/blog/water-dat…
2/22

GRADES: Federal jobs are ranked by “Grades,” aka levels. These positions will be Grades 11 or 12. That’s a high bar, usually meaning some combination of masters/doctorate degree and work experience. Learn more at usajobs.gov/Help/faq/pay/s…
3/22

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