Administrate the established environmental database and related tools.
Apply and refine protocols and procedures for data entry, validation, and quality assurance.
Regularly update and optimize database structures to accommodate evolving business needs.
Collect, compile, and organize data from various sources, including field measurements, monitoring networks, and remote sensing.
Perform data processing, transformation, and analysis to derive meaningful information.
Collaborate with cross-functional teams to integrate datasets.
Contribute to the development of innovative approaches for assessment and management of environmental data.
Develop, calibrate, and validate groundwater models using software such as MODFLOW, FEFLOW, or equivalent.
Conduct scenario analyses to simulate the impacts of various factors on groundwater flow, quantity and quality.
Interpret model results and provide actionable insights to project teams.
Stay abreast of the latest advancements in groundwater modeling techniques, tools, and methodologies.

Advanced degree (MSc or PhD) in hydrogeology, environmental engineering, geosciences, or a related field
Excellent analytical, problem-solving, and critical-thinking abilities
Proficiency in groundwater modeling software (e.g., MODFLOW, FEFLOW)
Experience with transforming data through GIS tools (e.g., ArcGIS Pro, QGIS)
Awareness of asynchronous field collection tools and web map application development is a plus
Strong programming skills in languages including Python, MATLAB, or R for data analysis and model development
Experience in database design, administration, and SQL programming, specifically EQuIS is a plus
Effective communication skills, both verbal and written, for technical and non-technical audiences
Ability to work independently and collaboratively in a multidisciplinary environment
Knowledge of statistical methods and uncertainty analysis techniques
Prior experience in groundwater research, modeling, or database administration is preferred
Coursework or research project applications with artificial intelligence and/or machine learning would be beneficial

Environmental Data Scientist

Key skills