U.S. Department of Housing and Urban Development

Data Scientist


Pay$69107.00 - $158432.00 / year
LocationBuffalo/New York
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 760950900
      This position is located at Department of Housing and Urban Development, Assistant Secretary for Public and Indian Housing.

      This opportunity is also open to Status eligibles under announcement 24-HUD-223. Please refer to that announcement for details on open period, eligibility, and how to apply.


      Duties


      The following are the duties of this position at the GS-13. If you are selected at a lower grade level, you will have the opportunity to learn to perform all these duties, and will receive training to help you grow in this position.

      As a Data Scientist, you will:


      Requirements



      Qualifications


      You must meet the following requirements by the closing date of this announcement.

      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:

      -Performing quantitative and qualitative analysis to support executive decision making; AND
      -Experience developing a data warehouse using SQL, Python, R or similar data management technologies; AND
      -Preparing and delivering technical/narrative reports for making program decisions; AND
      -Creating consumable data visualizations to promote understanding of results or trends (graphs, charts, dashboards).

      Specialized Experience: For the GS-12 grade level, you must have one year (52 full weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized Experience for this position includes:-

      Experience developing a data warehouse using SQL, Python, R or similar data management technologies; AND
      -Creating consumable data visualizations to promote understanding of results or trends (graphs, charts, dashboards).

      Specialized Experience: For the GS-11 grade level, you must have one year (52 full weeks) of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized Experience for this position includes:

      -Experience utilizing data management technologies, such as SQL, Python, R or similar; AND
      -Preparing technical/narrative reports for making program decisions.

      OR Education: You may substitute education for general or specialized experience as follows: 3 years of progressively higher level graduate education leading to a Ph.D. degree or an LL.M, if related or equivalent doctoral degree.

      OR Combination: You may qualify by a combination of experience and education. To combine education and experience, the total percentage of experience at the required grade level compared to the specialized experience requirement, as well as the percentage of completed education compared to the education requirement must equal at least 100 percent. Only graduate level education in excess of 36 semester hours (54 quarter hours), may be used to combine education and experience.

      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.

  • About the company

      The United States Department of Housing and Urban Development is a Cabinet department in the executive branch of the U.S. federal government. Although its beginnings were in the House and Home Financing Agency, it was founded as a Cabinet department in 1965, as part of the "Great Society" program of President Lyndon Johnson, to develop and execute policies on housing and metropolises.

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