1,664 karma · joined October 16, 2011
@sbourke
If you’re in a research function it’s probably patents trade secrets or publications
Those for me are the two examples on opposite ends of the spectrum.
And usually yes I need to explain value but it really depends on what level that discussion happens. If I’m team lead looking for budget it’s gotta be measurable, if I’m a IC in a team it’s more did I help the team he successful
Read up on 1:1s and ways to manage people performance I.e make sure they are working in things they are engaged with.
How much market share would either apple or Firefox need to get before google consider following the same plan
Outfittery is a personalised fashion service for men in Europe. We have 250 - 300 stylists creating custom outfits every day for our customers. They use data driven / machine learning tools to make this happen.
We've recently spun up a data platform team who will evolve our data infrastructure, and be the owner of our data products. Currently have an opening for a lead / staff engineer and a senior engineer.
If you'd like more details drop me a line at steve@outfittery.de I'm the hiring manager.
But thats from Kleinberg - the person who I was referring to :-)
After that there is personalised page rank / Salsa which are probably the more widely known approaches to identifying trust worthy nodes in a graph.
Google was all about crawling and building up the biggest dataset going.
Both approaches were victim to keyword stuffing (lots of keywords at the bottom of the page and if you were lucky it was in a marquee tag).
Pagerank was a pretty decent extra value with a relevance score to promote trust worthy sites. However there were similar techniques like hubs and authorities from kleinberg.
On a side note his old research students / postdocs ended up leading key initiatives at FB newsfeed and Pinterest discovery.
Most likely though in the background they will use these links as ways to package your identity up when selling to advertisers. Thats what I'm guessing is the end goal , enrich their stagnant platform (FB) with their growth platforms (WhatsApp and Instagram)
Landlord spends that 12k on fun activities. They pay 23% VAT
The government is making an absolute fortune with this absurd rental market.
Let's not even get into the high cost of mortgages because the government has a non trivial share in banks after they went bust 10 years ago.
Check out Levi's as a good example in the 90's.
I know of one or two alcohol companies that fund small bands road tours in different countries as well.
"When I learned in September 2016 that a large number of our user database files had been stolen, I worked with the team to disclose the incident to users, regulators, and government agencies. "However, I am the CEO of the company and since this incident happened during my tenure, I have agreed to forgo my annual bonus and my annual equity grant this year and have expressed my desire that my bonus be redistributed to our company's hardworking employees, who contributed so much to Yahoo's success in 2016."
So does that mean no one pushed it up the chain
Trading has been changing significantly since the 'big bang' when trading went from pits to electronic. From there on in you see the evolution of algorithm / program trading. This area has been using quants for decades at this point. There are a good few big names brands out there that are known for being 'algorithmic heavy', Man, Citadel, DE Shaw come to mind (I"m a few years out of date). That whole field has been open to introducing automation / algorithms to create a business edge and will probably continue to advance because its good for business. The profile of traders has also changed (Barrow boys versus PhDs)
Then I guess on the other side is investment banking such as m&a, equity and debt capital markets. Generally there its relationship based , juniors work on pitch books which from what I saw / heard were generally overlooked. This is potentially a lot harder to automate away. Then the bank would try to pull in some rain makers or grow them internally to land big deals. Usually these opportunities open up because their clients (Other companies) have learnt to trust the organization or at the least learn to expect a certain behavriour when enlisting their services.
Because assuming allocation is done at hiring that is probably where your job title is coming from.
It could make more sense to goto a startup where you get the problems (Probably not the scale) and autonomy / opportunity to own and build out a particular piece of the puzzle
Have a bug to fix for them
A starter project which involves using the codebase in an interesting / different way.