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Senior Data Scientist at Gallup (Atlanta, GA)

DESCRIPTION

 
  • Are you committed to using your talents in research and advanced analytics to give global organizations critical advice about their growing needs?

  • Are you a leader who applies your instinct and expertise to discover breakthroughs that are key to clients growth?

  • Are you a driven professional who can manage multiple projects, set a standard of excellence and follow through on commitments for exceptional results?

  • Do you instinctively connect with others, understand individuals needs and share your passion for analytics to achieve shared goals?

  • Do you excel at building predictive models using various data sources and techniques to inform practical business decisions?


What you will do:


As a Gallup data scientist, you will help clients effectively use data to make better decisions. You will apply your knowledge of various statistical and machine learning techniques to lead a wide variety of challenging projects ranging from designing custom builds for client needs to automating the challenging problems clients face every day. You will partner with client teams to increase Gallups global impact by helping to explain and predict large-scale social behavior (e.g., consumer spending, lifestyle trends, political stability, election outcomes, and employee performance and retention) using data from Gallup, the web and third parties (e.g., governments, IGOs and NGOs). You will mentor and develop other data scientists, helping them learn and grow their technical and consulting skill sets. In short, you will be a senior leader who will help further develop data science at Gallup.


We have data that no one else has. This gives you an unparalleled opportunity to use your creativity to explore new avenues of social research as part of the legacy founded by George Gallup in 1936 that set the gold standard in survey research methodology.

 

What you need:


  • Minimum of eight years of experience conducting analysis and writing code in Python and/or R is a must (expert knowledge of both Python and R is required); experience with an additional open-source language, like Julia, for analysis is preferred, and experience with an additional general-purpose programming language, like Java or Go, is a plus
  • A masters degree or Ph.D. from a statistics, engineering, mathematics, computer science, computational social science, physics or operations research program is preferred; we will consider advanced degrees from other programs, provided candidates have significant statistical and/or computational experience and skills
  • A deep understanding of the mathematical fundamentals of machine learning and statistics, with an emphasis on non-parametric, non-linear methods (e.g., random forests, support vector machines, neural networks) and natural language processing
  • Minimum of four years of experience building production-level machine learning and predictive analytics systems along with data pipelines
  • One to two years of experience working within distributed systems and managing workflows in a cloud infrastructure
  • The ability to explain complex technical material to nontechnical audiences


Candidates must be authorized to work in the United States.


Gallup is an equal opportunity/affirmative action employer that celebrates, supports and promotes diversity and inclusion. We will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation or gender identity, or any other legally protected basis, in accordance with applicable law.