Description:

Design, implement, and optimize algorithms for unsupervised and supervised learning based on structured and unstructured data. Build new analytics models, analyze novel business problems, and incorporate the latest techniques using the best tools available, providing results that will drive business decisions and significant revenue. Develop powerful business insights geospatial, ecological, social, marketing, industrial data and public policy using advanced machine learning techniques. Work closely with the software engineering team to productize analytic software. Collaborate with system integration and data warehouse engineers on data extraction and data cleaning. Work in a highly interactive, team-oriented environment.

About the Team:

This position will work with two or three others within a larger team of 14 highly skilled individuals developing models and performing analysis on primarily newly developed platforms.

Required Qualifications:

•         Knowledge of statistical techniques

•         Experience manipulating and analyzing big data sets, preferably geospatial data.

•         Experience with multivariate analysis methods

•         Experience in either R or Python (SAS is also acceptable)

•         PhD in STEM related field OR Master’s in STEM related field with 3+ years’ professional experience

•         Willingness and ability to learn and think creatively