We are looking for an individual with experience in using a variety of data tools, analysis methods, and machine learning algorithms to build and implement predictive models with demonstrable business impact.
Ideal candidates will have:
Degree in Statistics, Mathematics, Computer Science or another, Honors or Masters advantageous.
2+ years of experience manipulating data sets
2+ years of experience building statistical models
Experience querying databases and using statistical computer languages when managing data: (e.g., R, Python, SQL, etc.)
Knowledge and experience in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.)
Knowledge of a variety of machine learning techniques such as clustering, decision tree learning, artificial neural networks, etc., and their real-world advantages and drawbacks.