The position will lead the analytical and statistical aspects of the project, including differential privacy methodology, statistical disclosure limitation, privacy-utility analysis, synthetic data development, statistical modeling, evaluation of privacy parameters, protected statistical outputs, technical documentation, stakeholder support, training, and knowledge transfer. E-Logic, Inc. is seeking a Lead Data Analyst/Data Scientist specializing in Differential Privacy to support the IRS RAAS Statistics of Income (SOI) Division in developing, evaluating, implementing, and optimizing privacy-preserving methodologies for Qualified Opportunity Zone (QOZ) statistics.