Watershed Modeler

Koniag IT Systems LLC a Koniag Government Services company is seeking a Watershed Modeler to support KITS and our government customer in Annapolis offer competitive compensation and an extraordinary benefits package including health dental and vision insurance 401K with company matching flexible spending accounts paid holidays three weeks paid time off and Chesapeake Bay Program (CBP) is a unique regional partnership that has led and directed the restoration of the Chesapeake Bay and its tributaries since 1983. CBP signatories include the states of Maryland Pennsylvania Virginia Delaware New York and West Virginia; the District of Columbia; the Chesapeake Bay Commission a tristate legislative body; and the Environmental Protection Agency representing federal government. Koniag IT Systems LLC a subsidiary of Koniag Government Services provides Information Technology support and services for the Chesapeake Bay Programs Science and Partnership Missions along with Strategic Planning in support of the Chesapeake Center for Collaborative Computing (C4). This includes planning developing and maintaining a portfolio of science-based applications; management of large data repositories; GIS; network and infrastructure; project management Agile methodology software development; and decision support place of performance for this position is Annapolis MD. This is an offsite position however collaboration with CBPO staff will require quarterly site visits to the EPAs Chesapeake Bay Program Office in Watershed Models will lead efforts to incorporate the best available scientific knowledge on nutrient and sediment sources transport and fate into the Chesapeake Bay Program (CBP) partnerships Watershed Models. This position applies statistical and process-based modeling research and large-scale data analysis to improve the technical foundation performance and interpretation of CBP modeling tools and work directly with CBP technical and management work groups to develop modeling products that support science-based decision Qualifications:Candidates should have a PhD and professional experience in environmental science or environmental successful candidate must demonstrate expertise in process-based and statistical models of watershed nutrient and sediment loading; experience applying Bayesian methods in prediction estimation and scenario applications; and familiarity with machine learning skills include the ability to manipulate analyze interpret and display data for use by broad audiences; programming ability across multiple platforms and languages including R Statistical Computing Language; and excellent written and verbal communication skills with demonstrated effectiveness communicating to Chesapeake Bay Program -Level Responsibilities & Duties:Conduct statistical and process-based modeling to quantify nutrient and sediment loading transport and attenuation across the Chesapeake Bay efforts to integrate state-of-the science understanding of nutrient and sediment sources and transport into the CBP Watershed develop and evaluate enhancements to model structure inputs and multiple agricultural data sources for crop yields and acreage fertilizer application and livestock/poultry populations to improve estimates of agricultural nutrients and sediment calibration validation and uncertainty analysis of the CBP Watershed Model via a Bayesian framework (CalCAST).Evaluate watershed model performance relative to monitored observations of streamflow nutrient and sediment loads across spatial and temporal statistical performance metrics to assess model fidelity and diagnose systematic advanced analytical methods including Bayesian approaches and machine learning to evaluate drivers of water quality change and advance modeling nutrient mass balance analyses to support model interpretation and management directly with CBP technical and management work groups to identify modeling needs develop technical products and refine model with scientists engineers managers and policymakers across the CBP technical documentation reports and presentations communicating methods assumptions and results to CBP peer-reviewed journal articles to communicate results and methods to scientific and practitioner Skills and Abilities:Demonstrated expertise in nutrient and sediment sources and transport in watershed systemsStrong background with statistical modeling including Bayesian methods and machine learning Knowledge of CBP Phase 6 and Phase 7 models including the Dynamic WS Model and CalCAST proficiency in scientific programming and data analysis in R Statistical Computing LanguageDemonstrated ability to independently design execute and interpret scientific investigations including development and application of statistical or processes-based models to address complex environmental challenges experience with GIS geospatial analysis and remote sensing data products excellent written and oral communication skills proven ability to collaborate across disciplines and organizational boundaries in multi-stakeholder programs experience with hydrologic meteorology and water quality monitoring and data productsRequirements and Relevant Experience:PhD in environmental science ecology environmental engineering or geographyExperience contributing to large-scale regulatory or management modelsStrong understanding and awareness of the CBPO mission organizational structure and procedures for advancing modeling platformsExperience working with high-performance computing environmentsExperience in overseeing scientific and management modeling projectsMust speak fluent EnglishOur Equal Employment Opportunity PolicyThe company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race color religion creed ethnicity sex sexual orientation gender or gender identity (except where gender is a bona fide occupational qualification) national origin or ancestry age disability citizenship military/veteran status marital status genetic information or any other characteristic protected by applicable federal state or local law. We are committed to equal employment opportunity in all decisions related to employment promotion wages benefits and all other privileges terms and conditions of company is dedicated to seeking all qualified applicants. 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