Social Scientist for Research and Testing

Company Description

Giant Oak builds software to make the world a safer place. Giant Oak Search Technology (GOST®) makes screening easy by targeting the right kinds of information to help our customers combat fraud, detect crime, and enhance security. GOST® is the fastest, most reliable negative media search tool on the market because we see data differently. We look behind the numbers to see individuals and communities. And we strive to do our part to make the world a better, freer, and more secure place.


The Social Scientist for Research and Testing leads Giant Oak’s model development process. GOST® uses a variety of statistical and machine learning models to analyze disparate data in order to help customers prioritize workloads and find the information they are looking for. These models can only be as good as the labeled data that they have been built around and as intelligent as the challenge they are optimized against. The Social Scientist for Research and Testing designs performance testing protocols, leads a research team to build the data to train models, and ensures training data are appropriate to the problems and of exceptional quality.

The Social Scientist for Research and Testing will work with the Chief Scientist and the data engineering team to improve GOST® foundational training data, create new data and design tools and processes for continual improvement. She or he will design experiments, analyze their results, and automate tests of data quality. He or she will also contribute to building out core analytics and approaches to customizing these for each customer.  She or he is responsible to the Chief Scientist for the design and implementation of additional performance and quality testing on Giant Oak products.


  • Design and conduct empirical tests of data source quality, to include publicly available data, third party data, and customer-generated data.
  • Build models that improve GOST® performance on key quality metrics.
  • Maintain knowledge of the market for third-party data sources, identify and collect data from new sources, as needed, to improve GOST® performance.
  • Lead and run the Giant Oak research assistant program.
  • Provide experiment design and implementation support to the science team or other parts of Giant Oak as necessary.


Required Qualifications

  • MA/MS degree in a behavioral science (e.g. Economics or Psychology) or equivalent work experience.
  • Advanced coursework in econometrics, probability theory, statistics, or other relevant quantitative approaches, or equivalent work experience.
  • Exceptional ability to design empirical tests and execute a wide range of experimental protocols.
  • Clear communication skills, including communication of technical findings to non-technical audiences.
  • Eligible for US Security Clearance. 

Preferred Qualifications:

  • Higher degree in quantitative subject (PhD in economics, statistics, engineering, computer science or other social science where you applied quantitative tools such as criminology political science, or sociology; MS in statistics, data science, etc.).
  • Experience with technology including Python, SQL, AWS/Azure.
  • Track record of developing meaning from processing unstructured data or using web-scale data to measure social phenomena.
  • Proven track record of creating and managing data creation processes within an organization.

Additional Information

Women and minorities are encouraged to apply. Giant Oak, Inc. is an Equal Opportunity Employer.