BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
1+ years of industry experience with data science
1+ years of experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn
Efficient in SQL, Hive, or SparkSQL, etc.
Comfortable in Linux environment
1+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences