MS or PhD in Computer Science, Engineering, Operational Research, Statistics, Mathematics or another quantitative field of study
2-7 years experience in machine learning, statistics, or data mining
Data analysis and exploration skills in R, Scala, Matlab, Excel, Weka and other tools
Production experience in mix of: Java, C++, Python, Pig, Hive, SQL, Hadoop
Data Scientists to develop and enhance in fraud prediction models
obsessed over data cleanliness and canonicalization.
find data insights that solve critical problems in a complex data environment
Interest in the latest techniques in feature representation and learning algorithms is a plus