Computational Social Scientist

Gallup - New York, NY3.8

30+ days ago
Help global clients use data to make better business decisions.

As a computational social scientist at Gallup, you’ll apply your knowledge of statistical and machine-learning techniques to a wide variety of challenging projects that are each unique and customized to our clients’ complex global questions. Working on the biggest stage for researchers, you’ll 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). We’ll count on your expertise with parametric, non-parametric, linear and non-linear methods as well as feature selection and variable transformation. And we’ll depend on your ability to translate data for clients in a way they can easily understand.

At Gallup, we have data that no one else has, and we can offer you an unparalleled opportunity to use your creativity to explore new avenues of social research. If you’re passionate about using data to solve the world’s most pressing problems, join Gallup, the company that set the gold standard in survey research methodology.

Who we want:
Analytical thinkers who use their research talents to provide critical insights in advanced analytics for the growing needs of global organizations.

Curious researchers who apply their instinct and expertise to discover breakthroughs that are key to clients’ growth.

Sophisticated communicators who can easily explain complex technical material to nontechnical audiences.

Self-motivated professionals who can manage multiple projects, set a standard of excellence and consistently deliver exceptional results.

Data experts who excel at building predictive models using various data sources and techniques to inform business decisions.

Mission-driven scientists who are motivated to solve the world’s most pressing problems.

What you need:
A master’s degree or Ph.D. from a statistics, engineering, mathematics, computer science, computational social science, physics or operations research program is required. 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 and non-linear methods (e.g., random forests, support vector machines, neural networks).
Minimum of two years of experience building production-level machine learning and predictive analytics systems along with data pipelines.
Minimum of three to four years of experience conducting analysis and writing code in Python is required; experience with additional open-source languages, especially R, used for analysis and model building is a plus.
One to two years of experience working within distributed systems and managing workflows in a cloud infrastructure.
Must be currently authorized to work in the United States on a full-time basis.

Qualifications

What we offer:
A strengths-based, engagement-focused and performance-oriented culture
Flexible work environment
World-class managers who support, position, empower and engage you
Ongoing learning and development opportunities
Mission-driven work that changes the lives of people around the world
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.

Primary Location
United States-New York City