This position is part of the Data Science and Artificial Intelligence Branch (DSAIAB). DASAIAB collects over 350 million daily data points and performs approximately one million advanced calculations per day to assist in decision making for the Division of Technical Resources (DTR). Join a team of Data Scientists and Engineers providing data management for the NIH Central Utility Plant (CUP), the Cogeneration plant (COGEN), and the Central Utility Distribution System.
Basic Qualifications for a GS-1560 position: In order to qualify for a Data Scientist GS-1560 position, you must: A. Possess a Bachelor's degree, or graduate/higher level degree with a major study in mathematics, statistics, computer science, data science, or a field that is directly related to the position. OR B. Possess a combination of education (at least 30 semester hours) and additional appropriate/related experience that is the equivalent to a major in mathematics, statistics, computer science, data science or a field directly related to the position. Additional Requirements for a GS-1560-12 position: In addition, in order to qualify for a Data Scientist, GS-1560 position at the GS-12 level, you must have 1 year of specialized experience equivalent to the GS-11 level obtained in either the private or public sector that included the following tasks: organizing large amounts of structured and unstructured data sets using data analytical tools; creating data collection and analysis tools while utilizing programming languages and environments (e.g., R, Python, SQL, Scala, Java, C/C++, Julia); assisting in the implementation and creation of machine learning-based tools or processes; providing data visualizations to an organization using box plots, density plots, histograms, scatter plots, etc. Additional Requirements for a GS-1560-13 position: In addition, in order to qualify for a Data Scientist, GS-1560 position at the GS-13 level, you must have 1 year of specialized experience equivalent to the GS-12 level obtained in either the private or public sector that included the following tasks: managing large amounts of structured and unstructured data sets using data analytical tools; creating and implementing data collection and analysis tools while utilizing programming languages and environments (e.g., R, Python, SQL, Scala, Java, C/C++, Julia); using machine learning to build predictive algorithms; providing data visualizations to an organization using box plots, density plots, histograms, scatter plots, etc.; collaborating with senior data scientists and organizational staff to identify and resolve data quality issues. You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12183126
The National Institutes of Health (NIH), a part of the U.S. Department of Health and Human Services, is the largest biomedical research funding organization in the world. NIH is made up of 27 Institutes and Centers, each with a specific research agenda, often focusing on particular diseases or body systems. NIH employs approximately 18,000 employees in varied occupations, all supporting research efforts that improve health and save lives. For more information on NIH's mission and goals, and its 27 Institutes and Centers, visit the NIH website. The Division of Technical Resources (DTR) within the NIH Office of Research Facilities (ORF) provides technical consultation, comprehensive design review, oversight, and quality assurance for design and construction documents for NIH. DTR conducts scientific bio-environmental research and studies to advance emerging technologies used in biomedical research facilities. DTR develops Standard Operating Procedures (SOPs) and other technical guidance for processes unique to the NIH mission. DTR ensures that all projects within DTR's purview conform to applicable regulations, codes, standards, policies, and guidelines. Virtually explore the National Institutes of Health's (NIH) Bethesda campus, learn about scientific research, and get to know NIH community members who are working to help people live longer, healthier lives! https://www.nih.gov/virtual-tour/.