Hybrid Air Quality Scientist | Forecasting & Modeling Pro

Socket.dev; Richmond (VA); Hybrid; USD 75,000 - 110,000; Full time

Job summary

Socket.dev in Richmond, VA, is seeking an air quality analyst to conduct and review analyses for compliance with NAAQS and related regulations. The role involves forecasting, dispersion/photochemical modeling, and collaboration with federal and state agencies to prepare forecasts and modeling platforms.

The position offers a hybrid work schedule with in-office and telework components and requires knowledge of meteorology and environmental science, plus experience with modeling tools,

Qualifications

• Knowledge of meteorology and environmental science.
• Understanding of regulations related to air quality modeling and forecasting.
• Ability to relate meteorological conditions, pollutant data and models.
• General understanding of photochemical and dispersion models for SIP/applications.
• Ability to install and maintain air quality models on Linux/Windows (preferred).
• Familiarity with statistics to evaluate modeling results and scripting in R and Python (preferred).

Responsibilities

• Conduct air quality forecasting and dispersion/photochemical modeling.
• Collaborate with federal/state representatives to prepare forecasts and modeling platforms.
• Provide timely information on modeling and air quality issues to agencies, consultants and the public.

Skills

Atmospheric science

Environmental science

Statistical analyses

R programming

Python programming

Modeling familiarity

Linux/Windows maintenance

Tools

R

Python

Dispersion models

Job description

Socket.dev in Richmond, VA, is seeking an air quality analyst to conduct and review analyses for compliance with NAAQS and related regulations. The role involves forecasting, dispersion/photochemical modeling, and collaboration with federal and state agencies to prepare forecasts and modeling platforms.

The position offers a hybrid work schedule with in-office and telework components and requires knowledge of meteorology and environmental science, plus experience with modeling tools,