Deadline: july 10, 2012
Want an interview at Facebook? Facebook will review the top entries in the competition and offer you an interview if they like what they see. This is your opportunity to demonstrate your skills on a real-world social network dataset, and show them your creativity, open-mindedness and tenacity in the face of an open-ended predictive modeling problem.
The challenge is to recommend missing links in a social network. Participants will be presented with an external anonymized, directed social graph (no, not Facebook, keep guessing) from which some edges have been deleted, and asked to make ranked predictions for each user in the test set of which other users they would want to follow.
M.S. or Ph.D. in a relevant technical field, or 4+ years experience in a relevant role
Extensive experience solving analytical problems using quantitative approaches
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
A strong passion for empirical research and for answering hard questions with data
A flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Fluency with at least one scripting language such as Python or PHP
Familiarity with relational databases and SQL
Expert knowledge of an analysis tool such as R, Matlab, or SAS
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
To Apply: click here
For more information: click here