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Bachelor or Master of Science in Civil Engineering, Environmental Science, Geology, Biology, Natural Resources/ Forestry, Soil Science, Hydrology/Hydrogeology. Conducting and managing wetland and natural resource projects.
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Assists in the planning, coordination, and implementation of both natural and culture resource management and restoration projects. The position coordinates and oversees the park exotic plant and animal removal plan, mechanical treatment contractors and habitat restoration and other related subjects, collecting and recording data on parks imperil species like West Indian Manatees and Florida Scrub Jay as well as corresponding with management and outside stakeholders and other agencies about any park resource developments.
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You will develop computer models and software for tracking special nuclear material in nuclear fuel cycle (using discrete event, system dynamic, agent based and multi-method), used nuclear fuel management operations analysis and operational concepts communication using virtual reality and augmented reality methods.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Degree in civil or environmental engineering, math, environmental science, atmospheric science, meteorology, geography, natural resources management, planning, or a related field.
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This program will provide practical, hands-on training and certifications related to natural resource management and wildland firefighting. During their time in the field, crew members work outdoors in all types of weather conditions, performing heavy manual labor related to wildland fire and natural resource projects.
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Under close supervision, incumbents continue to receive training in performing the duties described in the series concept related to the assigned area of natural resource management, preservation, conservation, and protection.
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Degree: Must have a bachelor's or higher degree in biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. Education:You must have at least 3 years of progressively higher-level graduate education leading to a Ph. D. degree or Ph. D. or equivalent doctoral degree in biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position.
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The employer will alternatively accept a PhD in Financial Engineering, Quantitative Finance, Statistics, Data Science, Applied Math, Computer Science, Econometrics, or related field of study plus 3 years of experience in the job offered or as Predictive Science, Applied AI ML Lead, Data Scientist Lead/VP, Sr Quantitative Analyst, Sr Bond Analytics Analyst, Financial Research Analyst, Financial Product Development Associate, or related occupation.
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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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Ultimate stakeholders of the natural catastrophe modeling results are executive/senior management, policyholders, rating agencies, and regulatory bodies globally. Will collaborate with Data Analytics and Aggregation Analysis (natural catastrophe modeling) team members to ensure data is presented accurately and meets the needs of all stakeholders.
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We focus on equal pay, company culture, environmental engineering, natural resource management, environmental permitting + compliance, remediation, reclamation, soil, water, and technology to serve our clients.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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We help clients, including global companies, electric and natural gas utilities, and financial institutions, develop and implement climate change programs across a broad range of industry sectors and contribute to climate, clean energy, and clean transportation policy development.
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
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