JOB SUMMARY: This is a term appointment not to exceed 13 months with possible extensions up to a total of 4 years without further competition. Appointment to this position will not convey permanent status in the Federal service. Salary: $88,562 (Step 01) to $115,127 (Step 10); NOTE: First time hires to the Federal Government are typically hired at the Step 01. MAJOR DUTIES: The U.S. Geological Survey (USGS) serves as a national catalyst to organize and distribute biological, hydrological, geological, and geographical information and address the specific needs of the Department of the Interior and its land and resource managers. The USGS is the Nation's largest water, earth, biological science and civilian mapping agency, working in cooperation with more than 2,000 organizations across the country with numerous international communities to provide reliable, impartial, scientific information to resource managers, planners, and other customers and partners. Science Analytics and Synthesis (SAS) is a key component within the Core Science System Mission Area. SAS emphasizes an analysis and synthesis approach to providing scientific information on Earth systems, including a focus on the science data lifecycle. We strive to accelerate research and decision making through data science, information delivery, advanced scientific computing, and biogeographic science. SAS is comprised of Business and Technical Services, Advanced Research Computing (ARC), Biogeographic Science, Science Data Management (SDM), and the USGS Library. The USGS Library, authorized by Congress in 1879, is recognized as one of the world's largest Earth and natural science libraries providing services, collections, and expertise essential to the USGS mission. Our librarians facilitate research by ensuring seamless access to the literature of the earth and natural sciences - anytime, anywhere. SAS Science Data Management provides Bureau-wide leadership to optimize and share USGS science data, share effective management practices, and support various data workflows and repository functions. Our data scientists and information managers partner with discipline scientists to ensure USGS science is findable, accessible, interoperable, and reusable for future generations. Advanced Research Computing (ARC) provides training, consulting, and access to high performance computing resources. Working side-by-side with researchers, our computer scientists and research facilitators help to expand the scope and scale of scientific discovery and expedite the delivery of science products to stakeholders. SAS Biogeographic Science focuses on understanding and characterizing terrestrial, aquatic, and marine species, and ecosystems through development, maintenance, and integration of a suite of synthesized data systems used to conduct biodiversity assessments at regional to national scales. Our biologists, ecologists, and geographers conduct applied research on species, their habitats, threats, and protections to inform management of species, lands, and waters. Business and Technical Services supports the information technology, finance, and administrative needs for the organization. SAS has a strong culture of inclusivity and collaboration and are excited for the right person to join our team. This position is also within the U.S. Geological Survey's Core Science Systems Mission Area which has a strong commitment to Diversity, Equity, Inclusion, and Accessibility and strives to be a workplace that sees, recognizes, and values the unique perspectives, backgrounds, and contributions of all employees in order to promote the physical and psychological safety of all. As a Computer Scientist within the Core Science Analytics & Synthesis, some of your specific duties will include: Participating in routine data science tasks for Science Analysis and Support (SAS) and Advanced Research Computing (ARC) projects, with a focus on artificial intelligence and machine learning. Defining and implementing basic specifications for data processing pipelines, identifying and applying common statistical methods across various science domains. Developing standardized software applications and libraries for the ingestion, analysis, and visualization of diverse scientific data, covering both physical and biological sciences. Developing training materials for users at varying skill levels and conduct both in-person and remote seminars on data science topics, such as data collection, cleaning, storage, exploratory data analysis, and advanced statistical methods. Delivering in-person and remotely offered training seminars using the aforementioned training materials. IMPORTANT: Click the 'Apply for this job' button to view a complete job description.
