Data-Driven EnviroLab Temporary Research SpecialistData Analyst
$22 - $25 per hourUNC-Chapel Hill
Position Summary
This position may be eligible for a hybrid work arrangement that may include a partially remote work location consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab ( DDL ) at UNC -Chapel Hill seeks a Research Specialist with a data science focus to support interdisciplinary research on environmental climate energy and sustainability issues. The position will work across projects that use large and heterogeneous datasets to understand environmental and policy challenges develop reproducible analytical workflows and translate research findings into accessible tools and outputs for researchers policymakers and the public. This Data Scientist/Research Specialist position is ideal for recent BS/BA or Masters graduates and early-career professionals interested in strengthening their applied research skills including those considering doctoral study. The candidate will use R and/or Python to collect clean integrate manage and analyze data from multiple sources; apply quantitative statistical and where relevant geospatial methods; and contribute to data products visualizations and research outputs. Working with an interdisciplinary team spanning data science/statistics computer science climate policy law and social science the candidate may contribute to projects that: - Develop and maintain research datasets by integrating administrative web geospatial policy and other public or proprietary data sources with attention to data quality documentation and reproducibility. - Build and maintain data pipelines using APIs web scraping automated collection cleaning classification and validation methods. - Conduct quantitative statistical and geospatial analyses to study environmental economic health and policy questions; depending on the project methods may include regression panel-data analysis machine learning and spatial analysis. - Create dashboards visualizations and other data products that translate complex datasets and findings into accessible information for researchers policymakers and the public. - Contribute to research reports academic publications presentations and other outputs produced by the interdisciplinary team. One current application of this work is DDLs U.S. Data Center Dashboard which tracks data center facilities and state and local policies related to data center development and may expand to incorporate community awareness and this project the Research Specialist may help develop and validate facility and policy datasets analyze environmental health economic and policy implications and support continued dashboard development. The position may also contribute to other DDL research projects as needs evolve.
Monday Friday 8:30 AM 5:00 PM; times may vary
Required Experience:
Staff IC
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