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: http://careers.gallup.com or mail resumes to: Lisa Kiichler, 1001 Gallup Drive, Omaha, NE 68102.
Meet Some of Gallup's Employees
User Interface Lead
In addition to working on Gallup’s technology platforms, Steve takes pride in mentoring his team, knowing that he’s had the very best mentors at Gallup throughout his career.
Back to top