As Branch Chief for the Data Science and Artificial Intelligence Application Branch (DSAIAB) you will oversee a data platform processing over 350 million data points daily, aiding DTR in decision-making through advanced calculations, machine learning, and complex numerical models, e.g., artificial neural networks, gradient-boosted models, Bayesian optimization. You will lead development of a Data Governance framework to ensure data adheres to the highest standards of availability and integrity.

Duties

As a Supervisory Data Scientist in DTR, you will:

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.
• If selected, you will be required to sign a Financial Disclosure report. Please see Additional Information section.
• Position requires education, transcripts required.

Qualifications

Basic Qualification Requirements: To qualify for a Supervisory Data Scientist, GS-1560-14 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. All education, unless completed outside of the U.S., must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the education was completed. Additional Qualification Requirements: In addition, in order to qualify for this position at the GS-14 level, you must demonstrate in your resume at least one year of specialized experience at or equivalent to the GS-13 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 activities by implementing programming language codes (e.g., R, Python), feature engineering, advanced statistical methods/techniques (e.g., FPCA, Bayesian Analysis, NARX, Monte Carlo) and machine learning/AI tools; designing and evaluating machine learning/AI tools (e.g., RNN, LTSM) to extract insights from unstructured and multidimensional data; providing data science summaries and visualizations to management officials and program staff for facilities or utilities performance and operations; coordinating and advising on data science programs and projects with organizational officials, program staff, or other organizations to enhance facilities or utilities performance; and providing direction and guidance to program staff on data science techniques and methodologies. 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. To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings with the information you provide in your application. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin before receiving an offer. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12460075

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: William Bryan
• Phone: 301-435-3660
• Email: [email protected]