Giant Oak

Position Title/Short Description

Full Text of JOE Listing:

At Giant Oak, we see data differently. We look behind the numbers to see individuals and communities. We seek to observe and describe the world; and we take advantage of data generation, storage, aggregation, and visualization technologies. At Giant Oak, we apply social science to big data environments to identify illicit actions, actors and networks. Our goal is to do our part to make the world a better, freer, and more secure place.

Giant Oak has openings for social scientists with a passion for exploring cutting edge approaches to national security challenges that range from financial fraud to human trafficking. Candidates must have a demonstrated proficiency in quantitative social science methods and a PhD in economics or a related discipline (e.g., statistics, finance, computer science, operations research, or political science).

Applicants must be eligible for a U.S. Security Clearance. Ideal applicant will be a U.S. citizen with an active security clearance and the ability to gain and hold a SCI security clearance. Applicants without active clearances will be considered.

Required Qualifications:

-- Ph.D. in a relevant social science discipline (Economics, Political Science, or Sociology) or Masters in a quantitative discipline (e.g., Computer Science, Economics, Electrical Engineering, Applied Mathematics, or Statistics) and work experience in a data-intensive analytical environment.

Desired Qualifications (One or More of the Following, or Similar Competencies):

-- Experience with one or more programming languages (e.g., Java, C++, Python)
-- Experience with large-scale data manipulation, analytic tools, and data visualization
-- Developing and applying social network or other graph theoretic analyses as models of social phenomena
-- Developing and utilizing machine learning techniques for big data analytics
-- Experience with statistical methods such as regression-based causal inference, k-means or spectral clustering, support vector machines, random forests, and classification trees
-- Experience with distributed and/or graph databases (Cassandra, HBase, Titan, etc.)

Giant Oak, Inc. is an Equal Opportunity Employer.