The physical worksite option for this advertisement is located in Lakewood, CO. If your final duty location is anywhere other than Lakewood, CO you will be considered to be a remote worker. The final duty location of each selectee will be a joint decision made between each selectee and the hiring official. Locality pay will be adjusted appropriately and determined by the final duty location of each selectee. Locality pay tables can be found here.

Duties

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 focus a on 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. As a Data Scientist within the Science Analytics and Synthesis office, some of your specific duties will include: Serves as Senior Data Scientist/Manager in the Science Data Management Branch within the SAS organization and within the SSAR Program and an expert advisor for the Bureau in scientific data management. Provide senior guidance to national, regional, and Program science staff and outside collaborators to provide professional expertise in the principles, theories, and methods of scientific data management encompassing planning, data curation and documentation, technical approaches, publication, and preservation. Represents the Agency, Bureau, and Program as a subject matter expert in the field of data and information management, leading and participating on cross-agency, inter-Departmental, or international groups focused on advancement of scientific open data, application of FAIR Principles, and implementation of methods to ensure broad reuse of scientific data Leads the research and development of new computational tools, novel architectures, statistical and mathematical modeling approaches, machine learning algorithms, and advanced concepts of automation and information processing in support of advanced Bureau-wide data management and analysis capabilities to transform and support USGS research. Publishes research results, such as in computational methods to data management solutions, in peer reviewed journals, open file reports, and other media. Physical Demands: The work is usually sedentary but may include lifting of light office objects. Occasional travel is required to training, meetings, conferences, or to the field. Work Environment: The work is generally performed in an office environment that is adequately lighted, heated, and ventilated. Some travel may be required.

Requirements

Qualifications

BASIC EDUCATION REQUIREMENT: Applicants must meet A or B below to satisfy the basic education requirement for Data Scientist, all grade levels. A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. For GS-13 Applicants must meet the following to qualify for the GS-13 level: One year of specialized experience equivalent to at least the GS-12 level in the Federal service that demonstrates accomplishment in data management and technology information specialties that required a wide range of knowledge in data science computational methods, modeling, and techniques pertinent to the position to be filled. Examples of such experience include: enterprise scientific data management tool design and prototyping, enterprise data integration and interoperability, and modern enterprise data architectures and technologies such as data warehousing, data lakes, and data mesh. Applied experiences and knowledge related to these broad principals are required including architectural analysis and design, system software development, application design, mathematical sciences, database techniques and principles, and science application programming/development; leading technical and business requirements gathering sessions and requirements through data modeling exercises; applying modern Agile and DevOps best practices and methodologies and sound software development life cycle principles in the development and deployment of software applications; applied exposure to cloud hosting environments such as Amazon Web Services; and finally knowledge of cloud configurations and technical strategies in application of for migrating large software applications from on-premises to cloud infrastructure. Expert knowledge in multiple technologies such as Python, R, JavaScript, Typescript, HTML5, PostgreSQL, ElasticSearch, LunrJs, MongoDB, VueJS, Vuetify, Flask, FastAPI, AWS Chalice, AWS Lambda, Terraform, Plotly Dash, GraphQL, Hasura, Atlassian Crowd, and Keycloak others is also required. The complexity of the aforementioned work examples typically requires leadership in strategic evaluation and application of scientific data science computation methods, enterprise system architectures and computational design to formulate and implement solutions that meet customer requirements. This level of work experience would reflect wide latitude for the exercise of independent judgment to perform work of marked difficulty and responsibility resulting in an organizational technical vision of success. 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/about/organization/science-support/human-capital/how-foreign-education-evaluated-federal-jobs .

Contacts

• Address SCI DATA MGMT 12201 Sunrise Valley Drive Mail Stop 600 Reston, VA 20192 US
• Name: Sally Ruskowski
• Phone: 703 648-7437
• Email: [email protected]