OPS Water Quality Data Scientist

 
  • University of Florida
  • United States
  • Aug 3, 2022
Full Time - Fixed Term

Job Description:

Classification Title:

OPS

Job Description:
  • Collaborate on original research and development of empirical methods (using time series analysis, machine learning, etc.) to identify the primary drivers of coastal water quality impairments and changes over time.
  • Spatially resolve land uses and non-point pollution sources to inform environmental policy and management.
  • Further develop existing water quality trend analysis tools based on generalized additive models (GAMs) and a web-based visualization dashboard.
  • In collaboration with the CCS team, manage development of a data warehouse/lake and web-based dashboards integrating hydrological, water quality, and economic data collected throughout Florida.
  • Develop and maintain project code in a public repository (GitHub).
  • Co-author research publications and guide manuscripts through the peer-review process.
Expected Salary:

$15 per hour

Minimum Requirements:

Masters degree in an environmental science/engineering field (with thesis), with experience in water quality, watershed hydrology, and/or coastal/tidal systems. Knowledge/experience in water quality sampling and lab/analytical methods, best practices (QA/QC) for water quality data, and water quality regulations in Florida preferred

Preferred Qualifications:
  • Strong statistical/quantitative background with a deep understanding of methods, their applicability, and limitations.
  • Proficiency in R, with experience in data wrangling/cleaning (water quality data), spatiotemporal analysis and modeling (e.g. mgcv and GAMs), data visualization, and/or Shiny dashboards.
  • Collaborative attitude toward code development, with conscientious attention to detail, reproducibility, and maintainability.
  • Familiarity with GIS software such as ArcMap or QGIS. Experience with geospatial R packages is a plus.
  • Experience with neural networks, deep learning, transformers, etc. in Python preferred but not required.
  • Excellent oral and written communication skills.
Special Instructions to Applicants:

Please include cover letter and resume/CV listing peer-reviewed publications and major R/Python packages you are proficient with.

Applications must be submitted by 11:55 p.m. of the posting end date.

Health Assessment Required:No