Data Scientist – Predictive Analytics

Data Scientist – Predictive Analytics in Washington D.C. to help clients effectively use data to make better decisions. Will apply knowledge of statistical and machine learning techniques to a wide variety of challenging projects, each one unique and customized to our clients’ complex global questions. Will work on the biggest stage for researchers focusing on explaining and predicting large-scale social behavior using data from Gallup, the web and third parties. Will work with parametric, nonparametric, linear and non-linear methods and in feature selection and variable transformation.

Min.Req.: Master’s degree in statistics, mathematics, computer science, computational social science, operations research program, or related degree. Experience conducting analysis and writing code in R or Python. Experience in building production-level machine learning and predictive analytics systems along with data pipelines. Experience merging and analyzing large, diverse data sources – especially observational data. Solid background in the fundamentals of machine learning and statistics, with an emphasis on non-parametric and non-linear methods (e.g., Random Forests, Support Vector Machines, Neural Networks, etc.) Deep understanding of the mathematical foundations of machine learning and statistical algorithms.

Gallup is an EEO/AAP Employer-Minorities/Women/Disabled/Veterans.

Please apply online at: or mail resumes to: Lisa Kiichler, 1001 Gallup Drive, Omaha, NE 68102.

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