Alluvium | Multiple positions full-time| New York City | Onsite

Alluvium puts machine learning to work to help industrial customers achieve operational stability and perfect their production. We have developed a computing platform that is designed to turn massive streams of complex machine and operator data into simple, real-time insights.

Open roles: Data Scientist, Backend Engineer, DevOps Engineer

To apply: https://alluvium.io/careers/

Alluvium | Brooklyn, NY | ONSITE | Full-time | http://www.alluvium.io/

Alluvium is an enterprise software startup developing a mesh intelligence platform for complex industrial operations. The platform is designed to support machine intelligence software services for industrial operations wherein there are complex streams of heterogenous data, and expert human operators tied to those operations. The company was founded in September, 2015, and since then has received interest from a broad spectrum of industries – most notably oil and gas, fleet and logistics, and advanced manufacturing.

We're looking for software engineers and product engineers to join our small team in Brooklyn and help us build core products and technology.

As a software engineer you will help us build out our core stream processing platforms for doing distributed machine learning on noisy streaming data from physical systems. We primarily work in Scala.

As a product engineer you will design and build great web experiences for our users by understanding their workflows and finding ways to convey complex information. If that sounds interesting to you, we would love to hear from you: http://www.alluvium.io/software-engineer http://www.alluvium.io/product-engineer

Nice talk From Art'sy Director, Matt Israel, at DataGotham: http://www.youtube.com/watch?v=O9X3_8te4hs

This dataists post of the popularity of programming languages is relavant, though the data may be a but outdated.

http://www.dataists.com/2010/12/ranking-the-popularity-of-pr...

Thankfully, the good folks at Redmonk revisited this analysis recently.

http://redmonk.com/sogrady/2011/09/06/dataists-anguage-ranki...

There was a parsing error with the "#" in the function for grabbing StackOverflow tag counts, so now F# is ranked much higher.

zoom.it is what was formerly known as Seadragon, but the new version does not require Silverlight.

Python rocks, but Python + R + bash rocks way harder for research

R is definitely powerful and a good part of any scientific data analysis toolkit.

I use python, ipython, matplotlib, numpy and R. I call my R scripts directly from python using rpy.

Agreed. I use Python for heavy shell-scripting and text-processing (though R surprisingly does have respectable facilities for all but the most overwhelming of these tasks) and R for the rest of the analysis. I've thought about switching to NumPy/SciPy as it's part of Python to integrate everything, but R's data frame, factors, and reshape, plyr, and lattice packages makes you think very differently about how to approach the data - and hard to go back to lower-level manipulation of arrays; not to mention all the stats/graphics packages which are very easy to install and apply. And documentation of its functions is superb.

Note: there is literally no relationship between a country's 'Starting a Business' rank and their 'Closing a Business.'

http://plixi.com/p/50051085

This seems odd to me, but wonder if anyone has an explanation as to why this might be?

Great things happen at hack.a.bit

http://bits.blogs.nytimes.com/2010/08/18/visualizing-the-wik...

I doubt there is any professional endeavor free of "politics and politicking." Universities are large bureaucracies, and come with all of the institutional morass present in other organizations of such scale.

I've never worked anywhere that had so much politics as a University - and that goes for everything from start-ups through to multinationals.

> I doubt there is any professional endeavor free of "politics and politicking."

There's lots of professions where decisions are primarily made on merit. Entrepreneurship is one of them.

I wouldn't necessarily agree this is true as long as you never have a mentor, never take money from anyone who wants voting shares and only work by yourself.

All environments have politics. It's inherent in collaborative human interaction. What changes is the extent and the style.

I much better understand university politics than I do office politics. University politics is glacially slow and almost always run democratically; if you want something to change, you need plenty of closed door discussions with as much faculty as possible to get them on-side when the time comes to push.

My exposure to office politics was always power struggles between people with titles, and who can get the right handful of ears to listen. Sometimes you needed to step on the throats of other people internal or external to the company. I could never find the right pace, people or aggression to get it right.