Software engineer, statistician or senior analyst needed to automatically
investigate Google and Yahoo clicks from multi-million PPC advertisers.
Experience with scoring technology, tree forests, web robots and boosted
trees required. Perl, Java, C#, C++, SQL and especially deep knowledge of
HTTP highly desirable. Typical job interview questions would be:
- Why would a paid click going through a 302 redirect get lost in an
internet blackhole and does not show up in advertiser server logs, or why
does it show up but the tags got lost somewhere in the blackhole?
- How to prevent the above problem from happening?
- What kind of problems have you had when processing a single file that
contains 100 million rows (e.g. when sorting the file)? How did you overcome
the problems?
- How do you recognize, by looking at an advertiser server logs, that a
click is from a Google distribution partner, and is a paid (not organic)
click?
- Much of AOL web traffic (search.aol.com) goes into the blackhole -- from
an advertiser viewpoint. Why is this happening and how to fix this?
Engineers with data mining background, from LowerMyBills, Amazon.com, AOL,
MSN, Ebay, PayPal, Fair Isaac, Visa/fraud detection or similar companies are
encouraged to apply.
The position is with Data Shaping Solutions (http://www.datashaping.com ) -
a startup company that has been profitable for over 2 years without VC or
seed funding. No phone calls.
--
Vincent Granville, Ph.D.
C.E.O and President
Data Shaping Solutions, LLC
[log in to unmask]
925-759-7308 (cell)
www.datashaping.com
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