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Research Scientist I Ecosystem Modeler Jobs

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Marketing Analyst
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United States , Menlo Park
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125000.00 - 178000.00 USD / Year
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Meta
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Marketing Analyst
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United States , Menlo Park
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105000.00 - 147000.00 USD / Year
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Meta
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Research Engineer / Scientist - Post-training
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United States , Palo Alto
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187500.00 - 395000.00 USD / Year
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Luma AI
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Applied Scientist
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United States , Redmond
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119800.00 - 234700.00 USD / Year
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Microsoft Corporation
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Senior Research Software Development Engineer, MSR AI for Science
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Netherlands , Schiphol
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Microsoft Corporation
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Product Marketing Manager for AI Cloud Providers and Foundation Model Builders
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United States
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VAST Data
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Agile Development Senior
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United States , McLean
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127000.00 - 191000.00 USD / Year
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EdTech Jobs
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Principal Engineer
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United States , Pleasanton, California
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251000.00 - 314500.00 USD / Year
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BlackLine
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Data Scientist
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India , Hyderabad
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Amgen
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Machine Learning Engineer II - Training
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United States , Boston
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125000.00 - 170000.00 USD / Year
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Whoop
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Principal Product Manager, Autonomous Advertising
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United States
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180000.00 - 230000.00 USD / Year
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Viant
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Staff AI Product Manager
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France , Paris; Bordeaux
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Mirakl
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Staff AI Product Manager
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France , Paris; Bordeaux
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Mirakl
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Staff AI Product Manager
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France , Paris, Bordeaux
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Mirakl
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Geochemical Modeler
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InPlanet
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Senior Machine Learning Engineer, Personalization and Recommendations
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United States , San Francisco
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183360.00 - 248000.00 USD / Year
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Principal Data Scientist
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United States , Jersey City
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Robert Half
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Explore Research Scientist I Ecosystem Modeler jobs and launch a career at the forefront of environmental science. This specialized profession sits at the intersection of ecology, data science, and computational analysis, where professionals build and utilize sophisticated mathematical and computational models to simulate the complex dynamics of natural ecosystems. These scientists are pivotal in translating ecological theory into predictive tools that help us understand past changes, assess current conditions, and forecast future scenarios for our planet's vital habitats. In a typical role, an Ecosystem Modeler undertakes a range of critical responsibilities. They develop, parameterize, and validate simulation models that represent processes like carbon cycling, nutrient dynamics, species interactions, and vegetation succession. A core part of the job involves writing and debugging complex code, often in languages like R, Python, or FORTRAN, and managing large, heterogeneous datasets from field observations, remote sensing, and experiments. They run simulation experiments, conduct sensitivity analyses, and interpret model outputs to test scientific hypotheses. Communicating findings is essential; therefore, they regularly publish results in peer-reviewed journals, present at scientific conferences, and contribute to reports that inform conservation policy, natural resource management, and climate change mitigation strategies. The typical path to securing one of these research scientist jobs requires a strong academic foundation. A Ph.D. in ecology, environmental science, biogeochemistry, forestry, or a closely related quantitative field is standard. Demonstrated expertise in ecological modeling, evidenced by a publication record, is a fundamental requirement. Successful candidates possess a powerful blend of skills: deep ecological knowledge, advanced proficiency in statistical analysis and programming, and expertise in high-performance computing environments. Equally important are problem-solving abilities, meticulous attention to detail, and the capacity to work both independently and collaboratively within interdisciplinary teams. The profession demands curiosity and perseverance to tackle questions about ecosystem resilience, biodiversity, and global change. For those with a passion for quantitative ecology and a drive to address pressing environmental challenges, Research Scientist I Ecosystem Modeler jobs offer a rewarding career path. These positions are commonly found within universities, government research agencies (like the EPA or USDA), national laboratories, and non-governmental environmental organizations. By creating virtual laboratories of the natural world, these modelers provide the insights necessary to steward Earth's ecosystems into the future, making their work both intellectually stimulating and critically important.

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