Senior Data Scientist
Omaha, NE, United States
Gallup
Gallup is more than management consulting. Learn how our understanding of the human experience helps clients and the billions they serve thrive.Gallup, Inc. seeks a Senior Data Scientist in Omaha, NE 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 required, degree in data science statistics or similar degree.
- At least two years of professional work experience conducting analysis and writing code in Python and R.
- At least two years of hands-on experience with the mathematical fundamentals of machine learning and statistics, with an emphasis on nonparametric and nonlinear methods required.
- At least two years of hands-on experience with libraries such as pandas, NumPy and PySpark required.
- At least two years’ experience with database and storage using SQL or Postgre SQL
- At least two years’ experience with data visualization using Microsoft Power BI or Tableau or R or Python.
- At least two years’ experience working in Solution development and workflow creation using Microsoft Azure Cloud Platform services and APIs.
- At least two years’ experience in building scalable solution using R, Python and SQL to perform automated analysis, reporting and document generation.
- At least two years’ experience with Evaluation, in-depth documentation, and proposal preparation for onboarding of new technologies.
Gallup is an EEO/AAP Employer Minorities/Women/Disabled/Veterans.
Please apply online at: http://careers.gallup.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure Data visualization Machine Learning NumPy Pandas Power BI PySpark Python R SQL Statistics Tableau
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