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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. Responsibilities 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. Requirements Conditions of Employment Key Requirements: Applicants must be U.S. Citizens. Suitable for Federal employment, as determined by background investigation. Selectee may be subject to serving a one-year probationary period. More requirements are listed under Qualifications and Other Information. Are There Any Special Requirements For This Position? This vacancy is limited to the first 50 applications received and will close at midnight Eastern Time on the day this application limit is reached regardless of the closing date specified in this vacancy announcement. Any application received prior to midnight Eastern Time of the day the application limit is reached will be accepted and considered. You are strongly encouraged to submit all required supporting documents at the time of application should the vacancy close earlier than stated in this announcement due to the applicant limit being reached. Supporting documents will not be accepted once the vacancy announcement closes. A background investigation will be required for this position. Continued employment will be subject to the applicant's successful completion of a background security investigation and favorable adjudication. Failure to successfully meet these requirements will be grounds for termination. Throughout the recruitment and hiring process we will be communicating with you via email; therefore, it is imperative that the email address you provide when applying for this vacancy remains active. Should your email address change, please notify the point of contact identified in the vacancy announcement as soon as possible so that we can update our system. Qualifications BASIC EDUCATION REQUIREMENT: Applicants must meet the following to satisfy the basic education requirement for Computer Scientist, all grade levels. Bachelor's or higher degree in computer science OR a bachelor's or higher degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. QUALIFICATIONS for GS-12: In addition to the Basic Education Requirement as described above, applicants must meet the following to qualify for the GS-12 level: One year of appropriate professional experience that is in or directly related to the duties of the position to be filled is qualifying if it is equivalent to at least the GS-11 level in the Federal service, and if it equipped the applicant with the knowledge, skills and abilities to perform successfully the duties of the position. Specialized experience includes: Performing statistical analysis on camera trapping data, including processing, analyzing, and interpreting large, complex datasets to address biological or ecological research questions. Designing, implementing, and maintaining relational or non-relational databases optimized for storing, managing, and querying camera trapping data, with a focus on scalability, security, and data accessibility for research applications. Deploying and managing servers and services in cloud environments (e.g., AWS, Azure, or Google Cloud) to support data processing pipelines, web applications, or computational research workflows for biological sciences. Developing and applying artificial intelligence and machine learning (AI/ML) techniques to analyze biological data, including pattern recognition in images, species identification, habitat modeling, and predictive analytics to support scientific research and decision-making. Teaching or mentoring scientists in the use of AI/ML techniques, tools, and best practices, including the development of instructional materials, workshops, or seminars tailored to interdisciplinary research audiences. Applicants should detail their relevant experience in these areas, providing specific examples of projects, tools, techniques, and outcomes that demonstrate their qualifications and ability to meet the needs of this position. You must meet all qualification and eligibility requirements for the position by the closing date of the announcement. Education Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g. Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit:https://www.usgs.gov/human-capital/how-foreign-education-evaluated-federal-jobs Additional Information Other Information: This job opportunity announcement may be used to fill additional similar vacancies in the advertised office or other U.S. Geological Survey offices in the local commuting area. Applicants who include vulgar, offensive, or inappropriate language or information in their application package will be ineligible for further consideration for this position. Under Executive Order 11935, only United States citizens and nationals (residents of American Samoa and Swains Island) may compete for civil service jobs. Agencies are permitted to hire non-citizens only in very limited circumstances where there are no qualified citizens available for the position. USGS employees are subject to Title 43, USC Section 31(a) and may not: (a) have any personal, private, direct or indirect interest in lands or mineral wealth of lands under survey; (b) have any substantial personal, private, direct or indirect interests in any private mining or mineral enterprise doing business with the United States; or (c) execute surveys or examinations for private parties or corporations. The application contains information subject to the Privacy Act (P.L. 93-579, 5 USC 552a). The information is used to determine qualifications for employment, and is authorized under Title 5, USC, Section 3302 and 3361. DOI uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. The Department of the Interior (DOI) places a high value on diversity of experience and cultural perspectives and encourages applications from all interested eligible candidates. Diversity, equity, inclusion, and accessibility (DEIA) are fundamental principles that guide the Department and allow us to successfully achieve our mission. THE FEDERAL GOVERNMENT IS AN EQUAL OPPORTUNITY EMPLOYER. Agency Benefits: USGS has determined that the duties of this position are suitable for telework and the selectee may be allowed to telework in accordance with the DOI Telework policy and with supervisor approval. The official worksite for the selectee is the duty station identified in this vacancy announcement. The selectee will typically report to this duty location on a regular and recurring weekly basis. For additional information on our internal telework policy, please reference the Department of the Interior Telework Handbook at: https://www.doi.gov/telework/policies. Working for the U.S. Geological Survey offers a comprehensive benefits package that includes paid vacation, sick leave, and holidays; health, life, dental, vision, and long term care insurance, flexible spending accounts, and participation in the Federal Employees Retirement System.