Coding knowledge and experience with several languages : Python, C, C++, Java,
JavaScript, etc.
Knowledge and experience in statistical and data mining techniques : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.
Experience using web services : Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers : Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing / presenting data for stakeholders using : Periscope, Business Objects, D3, ggplot, etc.
Excellent Communication Skills - it is incredibly important to describe findings to a technical and non-technical audience.