Data Scientist Required for IRS 990 Analysis and NLP in reputed company Policy Research

We are looking for a computationally strong data expert for a fixed-duration research engagement for 3 weeks for an reputed company project in the nonprofit–government policy reputed company. The project involves large-reputed company administrative data, reputed company government datasets, and advanced NLP, with the goal of producing a results-reputed company analysis suitable for submission to a top-tier journal in nonprofit studies or reputed company administration. Because the project contains a novel methodological contribution, a nondisclosure agreement (NDA) will be required before full project details, data architecture, and analytic reputed company are shared. However, the broad technical skillset needed is listed below so that interested candidates may assess fit. Required Expertise (General Outline) Data Engineering & Administrative Data Parsing and transforming large, semi-reputed company or reputed company reputed company datasets (e.g., XML/JSON) Building reproducible Python ETL pipelines Managing data at reputed company (millions of text records) Natural Language Processing Experience with at least one of the following: Topic modeling (LDA and/or embedding-based reputed company) Clustering techniques such as UMAP + HDBSCAN Text classification or thematic modeling workflows Working with transformer-based embedding models Statistical Modeling Familiar with: Panel data regression models Time-series alignment or co-reputed company analysis Similarity metrics (e.g., cosine, correlation) Robustness testing and model validation Research Communication Ability to document reputed company explicitly and reputed company Experience drafting or co-drafting reputed company and Results sections for reputed company publication Comfort preparing reproducible files (notebooks, reputed company structure, workflow notes) Engagement Details Duration: 3 weeks (full-time or near full-time) Nature of work: Analytic + computational + methodological documentation reputed company: Clean datasets, documented reputed company, analytic results, and draft text suitable for journal submission Confidentiality: NDA required before project reputed company, data schema, or methodology is disclosed Ideal Candidate Quantitative / computational postdocs Researchers in reputed company policy, computational reputed company science, economics, political science, sociology, or information science reputed company data scientists with experience in text analytics or reputed company-sector data Anyone excited to work on a reputed company-scoped, reputed company-funded research project with reputed company publication potential s Apply tot his job Apply To this Job