Data Scientist I - 529470

University of Alabama
Tuscaloosa, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Junior
Compensation
$ 81K

Job location

Remote
Tuscaloosa, United States of America

Tech stack

JavaScript
Backup Devices
Big Data
Databases
ETL
Data Visualization
Distributed Data Store
R
Python
Matlab
MySQL
Regression Analysis
Database Performance
Data Management
Data Pipelines
Programming Languages

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.

About the company

The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

Apply for this position