E Logic · Baton Rouge, LA, United States
Skills: Python
Job Summary ---------------
E-Logic, Inc. is seeking a Senior Software Developer to support the development, testing, implementation, validation, and optimization of software applications and analytical tools supporting the IRS RAAS Statistics of Income (SOI) Division's production of differentially private Qualified Opportunity Zone statistics.
The Senior Software Developer will develop modular Python-based analytical applications and supporting software, contribute to differential privacy and disclosure-avoidance tools, build evaluation applications, support production analytical pipelines and automated output generation, develop dashboards and technical tools, ensure reproducibility and scalability, and support documentation, testing, training, and Government knowledge transfer.
Working Hours -----------------
Remote - United States
Employment Type: Part-Time Contract Assignment
Estimated Level of Effort: 375 hours per contract year, approximately 7.2 hours per week on average.
The actual distribution of hours may vary based on project activities, technical requirements, meetings, testing, and deliverables.
Key Responsibilities ------------------------
Software & Analytical Application Development
Develop modular, reusable, and maintainable analytical applications supporting privacy-preserving QOZ statistical reporting. Develop Python-based code and applications used for statistical analysis, testing, disclosure avoidance, and automated reporting. Support development and implementation of applications that can be adapted for future IRS and Treasury statistical reporting efforts. Develop software components that support production analytical workflows and statistical output generation.
Differential Privacy & Evaluation Tools
Support implementation of differential privacy and disclosure-avoidance functionality using Tumult Analytics or comparable frameworks. Develop and support an evaluation application capable of estimating error …truncated… ence working with Federal datasets…
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