Remote Quantitative Education Research Scientist

University of Georgia- FACS; Austin (TX); On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Performance bonuses

Vacation and personal leave

401(k) matching

Health and life insurance

Job summary

Gibson Consulting Group, Inc. seeks a Quantitative Research Scientist to conduct education research and evaluate programs for school districts, states, and other clients. The role centers on managing large datasets, applying econometric methods, and delivering robust analyses across projects.

The position is fully remote in the United States, with collaboration across project teams, and a Ph.D. in a social science field preferred.

Qualifications

• Advanced Stata programming; Python experience a plus.
• Experience cleaning large, complex datasets; provide sample scripts.
• Familiarity with statistical and econometric methods in social science research.
• Sound research design principles are essential.

Responsibilities

• Manage, clean, and analyze large educational datasets with reproducible scripts.
• Write efficient code for data prep, analysis, and reporting (macros, looping).
• Provide descriptive statistics, model fitting, and quality control checks.
• Communicate results via reports, presentations, dashboards, and scorecards.
• Develop evaluation frameworks to measure program impact and outcomes.
• Provide statistical consulting and contribute to research proposals.
• Support multi-site data collection and documentation of data decisions.
• Develop research protocols, surveys, and interview/focus group guides.

Skills

Stata programming

Python

Data management

Econometrics

Research design

Education

Ph.D./graduate training in social science

Tools

LaTeX

HTML

Shiny

Dash

Job description

Gibson Consulting Group, Inc. seeks a Quantitative Research Scientist to conduct education research and evaluate programs for school districts, states, and other clients. The role centers on managing large datasets, applying econometric methods, and delivering robust analyses across projects.

The position is fully remote in the United States, with collaboration across project teams, and a Ph.D. in a social science field preferred.