Environmental Data Specialist - East University

FLSA Status:
Exempt Grade: 11

Position Summary The Environmental Data Scientist supports interdisciplinary projects across water research, land stewardship, water planning and policy, and sustainable communities. This position combines environmental science, quantitative analysis, modeling, coding, and data management to help Oka’ staff and project partners better understand complex environmental systems and support science-based decision-making.

The ideal candidate will have a strong foundation in environmental sciences and the technical ability to analyze, model, and interpret environmental data using tools such as Python, R, SQL, GIS, and related analytical platforms. This position will work across Oka’s focus areas to develop models, automate analytical processes, evaluate environmental datasets, support research and field activities, and translate technical results into useful information for researchers, communities, resource managers, and decision makers.

• Conduct quantitative analysis of environmental datasets related to water resources, watershed conditions, land
• Develop, apply, and evaluate environmental models to better understand environmental processes, assess
• Develop scripts, analytical tools, and automated workflows using Python, R, SQL, or similar programming
• Assist project teams with the selection, application, interpretation, and refinement of environmental and
• Integrate environmental datasets from multiple sources, including field observations, laboratory results, GIS and
• Apply GIS and spatial analysis techniques to evaluate environmental conditions, identify spatial patterns,
• Develop maps, figures, dashboards, reports, and other visualization products that clearly communicate
• Maintain organized and reproducible datasets, analytical workflows, code, model documentation, and metadata
• Other duties as assigned by Supervisor or designee.

Omission of specific statement of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position.

• Master’s degree in Environmental Science, Environmental Engineering, Water Resources, Hydrology, Natural
• Strong understanding of environmental science principles and the ability to interpret environmental and natural
• Experience analyzing environmental, water resource, natural resource, or related scientific datasets.
• Experience using GIS for spatial analysis, environmental assessment, mapping, or development of map-based
• Experience with quantitative analysis, statistical analysis, environmental modeling, or other computational
• Experience working with structured datasets and applying appropriate data organization, documentation, and
• Proficiency with Python, R, SQL, or similar programming languages for environmental analysis, modeling,