Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques.
Knowledge of advanced statistical techniques and concepts and experience with applications.
Excellent written and verbal communication skills.
Familiar with the following software/tools:
C, C++, Java,
GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis
R, Python, SLQ, etc.
Redshift, S3, Spark, DigitalOcean, etc.
Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Periscope, Business Objects
, D3, ggplot, etc.