Are you excited about solving real world problems with advanced math and 
machine learning? Are you looking for a job potentially impacting millions of 
customers?

Expedia has an exciting and challenging opening for a data scientist / machine 
learning practitioner.  We are looking for someone with advanced training in 
computer science, machine learning or an equivalent field whose skills span the 
complete project cycle, from data wrangling, to modeling to feature 
implementation and monitoring.

Areas where we do advanced work include:


*        Recommender systems

*        Time series analysis

*        Auctions

*        Incentive systems and feedback loops

*        Purchase propensity

Your focus will be developing state of the art algorithms that power both our 
consumer facing and supplier facing websites.  Key problems that we address 
include consumer travel search and supplier pricing recommendations.

This is an applied research position, so while you will be given the 
flexibility to pursue new and interesting ideas, the main focus will be 
developing production algorithms supporting features of the website. Applicants 
who have competed in one of our Kaggle competitions will be given special 
consideration.

REQUIREMENTS


*        Strong communication skills both written and oral

*        Master's degree or PhD in machine learning, computer science or 
equivalent work experience

*        Strong programming skills, proficiency with one of low level languages 
such as c++/java, and one scripting language such as python/R/scala

*        Experiences with distributed computing (Hadoop/Spark)

*        3-5 years' experience of working with real data (data cleaning, data 
visualization and modeling)

*        Strong hands-on skills in sourcing, cleaning, manipulating and 
analyzing large volumes of data

*        Excellent academic or industrial track record of proposing, conducting 
and reporting results of original research, plus collaborative research with 
publications

Please contact apply using the following link:
Sr. Data Scientist (41522) - http://bit.ly/1QMDFNL

Or contact
Dan Friedman
dfried...@expedia.com<mailto:dfried...@expedia.com>


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