This position is located in the Reports and Analysis Branch, Office of Science Policy, Planning, and Communications (OSPPC), Office of the Director (OD), National Institute of Mental Health (NIMH), National Institute of Health (NIH), U.S. Department of Health and Human Services (HHS).

Duties

Designing and implementing strategies, methodologies, and tools to collect data that is relevant, accurate, and representative of the target population or phenomenon of interest. Preparing the data and ensuring its suitability for the intended use (e.g., storage, analysis, or modeling) by cleaning, wrangling, and formatting the data. Organizing, storing, and maintaining data in a way that optimizes access patterns, security, and accommodates different data types and characteristics. Using computational/statistical techniques for analyzing data. This includes applying the algorithms and methods that underlie artificial intelligence (AI), data mining, machine learning, and statistical inference to gain knowledge or insights, build classifiers and predictors, or infer causality. Representing data and information visually through graphical or interactive means such as charts, graphs, maps, or dashboards. Explaining what the visualized data means considering context, point, implications, and possible ramifications. Developing, implementing, or leading data science initiatives, programs, or strategies while ensuring compliance, managing teams/resources, evaluating proposals, and maintaining reproducible work procedures. Developing, implementing, modifying, or providing recommendations on data visualization, healthcare AI, and other data science tools (e.g., machine learning).

Requirements

• U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
• Employment is subject to the successful completion of a background investigation, verification of qualifications, completion of onboarding forms, submission of required documents, and any other job-related requirement before or after appointment.
• Applicants must meet all qualification requirements by the closing date of this announcement.
• Males born after December 31, 1959 must be registered with the Selective Service.
• This position has a Basic Education requirement; please provide transcripts.

Qualifications

Basic Education Requirement In order to qualify for the 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. In addition to the Basic Education Requirement, you qualify at the GS-12 level, if you meet the following qualification requirement: You must demonstrate in your resume at least one (1) year of qualifying experience equivalent to at least the GS-11 level in the Federal service obtained in either the private or public sector, performing the following types of tasks: performing data collection, preprocessing, and analysis by applying programming languages (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; implementing machine learning/AI tools (e.g., NLP, DP, RL) to extract insights from data; and summarizing data analysis results using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau) to prepare presentations for external stakeholders. In addition to the Basic Education Requirement, you qualify at the GS-13 level, if you meet the following qualification requirement: You must demonstrate in your resume at least one (1) year of qualifying experience equivalent to at least the GS-12 level in the Federal service obtained in either the private or public sector, performing the following types of tasks: enhancing data collection, preprocessing, and analysis activities by implementing/adapting programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., MANOVA, Bayesian Analysis), and machine learning/AI tools; adapting and implementing machine learning and Artificial Intelligence techniques (e.g., NLP, Deep Learning, Reinforcement Learning) to extract insights from unstructured data; explaining findings using data visualization tools, programming languages, and software applications (e.g., MATLAB, Tableau); and explaining data science concepts to stakeholders (e.g., researchers, leadership) to build consensus in planning data initiatives (e.g., data collection, preprocessing, analysis, reporting). 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/12277207

Education

This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.

Contacts

• Address National Institutes of Health 6701 Rockledge Drive Bethesda, MD 20892 US
• Name: Melissa Duffy
• Email: [email protected]