Water Resource Engineer/Scientist
Delaware River Basin Commission | Posted Apr 3, 2024
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- Experience Level:
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The Commission is seeking a water resource professional to apply data science tools and machine learning methods to a wide variety of water resource evaluations. Candidates must be eager to learn and to participate within a small multidisciplinary team focused on solving specific water resource problems. Graduation from an accredited college or university with a Master’s Degree or higher in Data Science, Civil/Environmental Engineering, Environmental Science, or related discipline, preferably with an emphasis in water resources, is required. PhD in relevant field can be substituted for equivalent years of professional experience.
With technical guidance and training, the successful candidate will perform the following activities:
• Apply data science tools and machine learning methods to a wide variety of water resource evaluations, including data visualizations, uncertainty evaluations, component analyses, water predictions, and improvements to process-based water resource models;
• Develop data management tools such as processing of model inputs and outputs, using ArcGIS, Python, R, JavaScript and/or similar tools;
• Develop, maintain, and improve hydrodynamic and water quality models, including one-, two-, and three-dimensional models for conventional and toxic pollutants, of the tidal and non-tidal waters of the Delaware River Basin;
• Apply models appropriately to address water resource questions such as the impacts of climate change on habitat or the impacts of point or nonpoint source improvements on water quality;
• Support planning and regulatory activities of the Commission that require models;
• Prepare effective reports and presentations of technical material for advisory committees, the public, the regulated community, and government agencies; and
• Assume other responsibilities, as assigned, to benefit the Commission.
Qualified candidates must be ready for a challenge and want to be engaged in real-world problems and solutions. The candidate should expect to perform in-office work, like coding, as well as fieldwork, in addition to other job-related tasks. Candidates must be eager to learn and to participate within a small multidisciplinary team focused on solving specific water resource problems. You will work in a supportive and flexible environment that encourages you to share your ideas and feedback.
QUALIFICATIONS
Education: Graduation from an accredited college or university with a Master’s Degree or higher in Data Science, Civil/Environmental Engineering, Environmental Science, or related discipline, preferably with an emphasis in water resources, is required. Coursework related to data science, machine learning, statistics, hydrology, hydraulics, water quality, and/or water pollution control desired.
Experience: This is an early career position requiring 3+ years of professional experience; a Master’s degree (required) and/or Ph.D. coursework/research/degree in relevant field can be substituted for equivalent years of professional experience. Proficiency with coding languages useful for data management and analyses such as R and Python is expected, as is experience with and interest in machine learning techniques; familiarity with hydrodynamic and/or water quality modeling of surface waters is preferred.
Salary within the range specified will be determined based on education and experience. Candidates with higher qualifications may be considered for a commensurate salary in a higher position grade. The selected candidate must be authorized to work lawfully in the United States without employer sponsorship.