Data Scientist

US-Assistant-Secretary-For-Community-Planning-and-Developmen; Salt Lake City (UT); On-site; USD 70,000 - 95,000; Full time

Job summary

The Department of Housing and Urban Development, Assistant Secretary for Community Planning and Development, is seeking a candidate for a GS-13 level role requiring data collection, analysis, and strong reporting skills. The candidate should have experience using statistics to develop models, dashboards, and decision-ready reports.

The position emphasizes rigorous data analysis, preparing technical narratives, and presenting program outcomes to support housing and community development

Qualifications

• Bachelor’s or higher in mathematics, statistics, computer science, data science, or related field with transcripts.
• 30 semester hours in related courses plus experience may substitute for a degree.
• Experience demonstrates knowledge, skills, and abilities for the occupation.

Skills

Data collection

Data analysis

Statistical analysis

Reporting

Education

Bachelor’s degree in mathematics or statistics or computer science or data science

Job description

This position is located at Department of Housing and Urban Development, Asst Secretary for Community Planning and Development.

This opportunity is also open to Status Candidates under Announcement ST-13062194-26-CF.

You must meet the following basic requirement AND specialized experience by the closing date of this announcement.

BASIC REQUIREMENT

To be considered for this position, you must demonstrate that you meet the basic requirement:

A. Degree: Successful completion of a full 4-year course of study that led to a bachelor's or higher degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study that is appropriate for the position. (Must submit transcripts that reflect relevant coursework.)

B. Combination of Education and Experience: Combination of education and experience which included at least 30 semester hours (or equivalent) in courses equivalent to a major in mathematics, statistics, computer science, data science, or field directly related to the position, plus creditable experience. You must submit transcripts that reflect relevant coursework. Such education and experience must demonstrate the knowledge, skills, and abilities necessary to do the work of the position. The quality of the combination of education and experience must be sufficient to demonstrate you possess the knowledge, skills, and abilities required to perform work in the occupation, and is comparable to that normally acquired through the successful completion of a full 4-year course of study with a major in the appropriate field. In addition to courses in the major and related fields, a typical college degree would have included courses that involved analysis, writing, critical thinking, research, etc. These courses would have provided an applicant with skills and abilities sufficient to perform progressively more responsible work in the occupation. Therefore, creditable experience should have demonstrated similarly appropriate skills or abilities needed to perform the work of the occupation. (Must be reflected in your resume, and must submit transcripts that reflect relevant coursework.)

SPECIALIZED EXPERIENCE

For the GS-13 grade level, you must have one year (52 full weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized Experience for this position includes:

• Collecting data through multiple mechanisms (e.g., surveys or systems) for data analysis; AND
• Preparing and delivering technical/narrative reports for making program decisions; AND
• Using statistical analysis to develop, manage, and maintain models, dashboards, and reports.

The experience may have been gained in either the public, private sector or volunteer service. One year of experience refers to full-time work; part-time work is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week on your resume.