Data Scientist I - 529470
Role details
Job location
Tech stack
Job description
Job Summary: The Data Scientist I assists in data management and integration efforts across the university, state, and federal agencies. Develops processes to extract, transform, and load data into common data repositories. Coordinates creating new databases, performing database backups and restores, user maintenance, and ensuring database performance., Additional Department Summary: Global Water Security Center (GWSC) is a research -to-operations center, this position will be involved in a range of activities from exploratory analysis to development and implementation of data workflow to data visualization and communication. GWSC is also an applied research and operational center commissioned to respond to our nation's need for water and environmental security insights. GWSC will inform national security partners and others with global interests in water and environmental security. Our partners will include the Department of Defense (DoD), other US Government agencies, private companies, and data producers from federal agencies and academia.
Works closely with researchers across a range of disciplines to analyze water, weather, climate, and environmental data to solve water security issues.
Continuation in this position is contingent upon availability of external funding derived from research programs or specific projects.
Requirements
Skills and Knowledge: Self-starter, analytically creative, willing to brainstorm, and inquisitive. Experience working with large datasets and conducting statistical analysis. Experience with and understanding of environmental data. Experience managing and analyzing large, multi-dimensional datasets. Experience with statistical analyses. For example: experience with non-normally distributed data and statistical analyses including regressions, t-tests, nonparametric tests, power analyses, multivariate and/or ordination techniques. Demonstrable knowledge in a programming language or languages often applied to environmental datasets; examples could include R, Python, mySQL, MATLAB and JavaScript, or other GIScience., Preferred Qualifications: Bachelor's degree or higher and two (2) years of data science or analytics experience or education and work experience to equal six years. Experience with Bayesian statistics and censored datasets preferred.