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.
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.
Working Hours
Remote - United States
Employment Type: Part-Time Contract Assignment
Estimated Level of Effort: 320 hours per contract year, approximately 6.2 hours per week on average.
The actual distribution of hours may vary based on project activities, technical requirements, meetings, and deliverables.
Key Responsibilities
Differential Privacy & Statistical Disclosure Limitation
- Develop, test, implement, and evaluate statistically valid methodologies for producing aggregated QOZ statistics while protecting taxpayer information.
- Apply statistical disclosure limitation methodologies based on differentially private algorithms implemented in Python.
- Evaluate and apply differential privacy techniques for statistical disclosure control, privacy-preserving computation, and secure aggregation.
- Evaluate and pilot the Tumult Analytics Python framework or a comparable privacy-preserving analytics framework.
- Develop and refine privacy mechanisms and parameters while balancing privacy protection and statistical utility.
- Evaluate privacy budgets, including epsilon-level scenarios and the impact of reporting granularity on error and bias.
QOZ Data Analysis
- Analyze IRS tax and administrative datasets associated with Opportunity Zone investments and Qualified Opportunity Funds.
- Support analysis involving relevant Form 8996 and Form 8997 records.
- Conduct statistical analyses of QOZ and QOF data.
- Support production of aggregated statistics for Government analysis and public reporting.
- Develop and assess methods for releasing datasets such as QOF counts, QOF investment amounts, and percentages of QOZ-designated census tracts while maintaining FTI confidentiality.
Synthetic Data & Evaluation
- Develop synthetic test data reflecting the structure and statistical characteristics of u