Koniag IT Systems LLC, a Koniag Government Services company, is seeking a Watershed Modeler to support KITS and our government customer in Annapolis, MD. We 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 more. The 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 Program’s 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 systems. The 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 EPA’s Chesapeake Bay Program Office in Annapolis. The 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) partnership’s 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 making. **Required Qualifications:** + Candidates should have a PhD and professional experience in environmental science or environmental engineering. + The 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 methods. + Required 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 audiences. **High-Level Responsibilities & Duties:** + Conduct statistical and process-based modeling to quantify nutrient and sediment loading, transport, and attenuation across the Chesapeake Bay watershed. + Lead efforts to integrate state-of-the science understanding of nutrient and sediment sources and transport into the CBP Watershed Model. + Design, develop, and evaluate enhancements to model structure, inputs, and assumptions. + Integrate multiple agricultural data sources for crop yields and acreage, fertilizer application, and livestock/poultry populations to improve estimates of agricultural nutrients and sediment inputs. + Perform 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 scales. + Apply statistical performance metrics to assess model fidelity and diagnose systematic errors. + Apply advanced analytical methods including Bayesian approaches and machine learning to evaluate drivers of water quality change and advance modeling approaches. + Conduct nutrient mass balance analyses to support model interpretation and management actions. + Work directly with CBP technical and management work groups to identify modeling needs, develop technical products, and refine model applications. + Collaborate with scientists, engineers, managers, and policymakers across the CBP partnership. + Produce technical documentation, reports, and presentations communicating methods, assumptions, and results to CBP audiences. + Author peer-reviewed journal articles to communicate results and methods to scientific and practitioner audience. **Knowledge, Skills, and Abilities:** + Demonstrated expertise in nutrient and sediment sources and transport in watershed systems + Strong 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 Language + Demonstrated 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 products **Requirements and Relevant Experience:** + PhD in environmental science, ecology, environmental engineering, or geography + Experience contributing to large-scale regulatory or management models + Strong understanding and awareness of the CBPO mission, organizational structure, and procedures for advancing modeling platforms + Experience working with high-performance computing environments + Experience in overseeing scientific and management modeling projects + Must speak fluent English **Our Equal Employment Opportunity Policy** The 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 employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations. _Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit_ _www.koniag-gs.com_ _._ **_Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352_** **Job Details** **Pay Type** **Salary** **Hiring Min Rate** **100,000 USD** **Hiring Max Rate** **105,000 USD**