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Data Scientist - Interdisciplinary (Direct Hire)
Ginnie Mae Washington, DC
$121k-149k (estimate)
Full Time 4 Days Ago
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Ginnie Mae is Hiring a Data Scientist - Interdisciplinary (Direct Hire) Near Washington, DC

IMPORTANT NOTE:

Please refer to the included URL, to apply for this position in USAJobs.com.

https://www.usajobs.gov/GetJob/ViewDetails/795889000

Comment

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

Summary

The position is located in the Department of Housing and Urban Development (HUD), Government National Mortgage Association (GNMA), Office of Enterprise Risk (OER) within the Government National Mortgage Association (Ginnie Mae). HUD is seeking highly qualified individuals who are willing to meet the challenges of public service and support our mission. We offer salaries comparable to the private sector service and a generous benefits package. We also offer a broad array of program activities to develop your career, such as: networking and training opportunities. At Housing and Urban Development, you'll have a once-in-a-lifetime opportunity to gain insight into housing policy and community development. Also, you can explore new career avenues and most of all, acquire lifelong skills as you represent the federal government. The GNMA or Ginnie Mae is the primary financing mechanism for all government-insured or government mortgage loans.

Overview

  • Opening and closing dates 06/15/2024 to 06/28/2024
  • Service: Competitive
  • Pay scale & grade: GS-13/14
  • Appointment type: Permanent
  • Work schedule: Full-Time

Location

1 vacancy in the following location:

  • Washington, DC

Relocation expenses reimbursed: No

Telework eligible: Yes as determined by agency policy

Responsibilities

As a/an Data Scientist - Interdisciplinary (Direct Hire), you will:

  • Serve as a senior data scientist and provide leadership and senior-level technical expertise in data science and data analytics.
  • Provide senior-level technical expertise to facilitate the development of data strategies, data management, queries and wrangling of data, study design, and advanced communications of output.
  • Be responsible for research, development, deployment, and enhancement of forecasting models and analytics solutions using complex analytics techniques such as optimization methods, machine learning, natural language processing, spatial analysis, robotics process automation, and artificial intelligence.
  • Substantively contribute to the development and design for advanced data systems, software, advanced analysis, scoring, and modeling efforts that incorporate complex program specifications. Provide leadership and technical advice to Federal and contractor staff in the development and analysis of pilot initiatives and applications.
  • Manage data science life cycle, develop, design, support implementation, and evaluate data management strategies and tactical plans.

Qualifications

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

Specialized Experience:

Specialized experience for the GS-14 is defined as one year of experience at the GS-13 level, or equivalent, that is directly related to the position and which has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes:

  • Using scientific methods to plan, design, conduct and present data science projects to stakeholders; AND
  • Preparing and analyzing large-scale datasets for data wrangling, data reporting, and data validation; AND
  • Preparing and delivering technical/narrative reports for policy or program decisions.

Specialized experience for the GS-13 is defined as one year of experience at the GS-12 level, or equivalent, that is directly related to the position and which has equipped the candidate with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Specialized experience for this position includes:

  • Transforming and cleansing data from structured and unstructured datasets; AND
  • Preparing datasets for data wrangling and data validation; AND
  • Preparing and delivering technical/narrative reports for program decisions.

About Us

At Ginnie Mae, we help make housing a reality for millions of households across America and veterans by channeling global capital into the nation's housing markets. Specifically, the Ginnie Mae guaranty allows mortgage lenders to obtain a better price for their mortgage loans in the secondary mortgage market. The lenders can then use the proceeds to make new mortgage loans available. Ginnie Mae does not buy or sell loans or issue mortgage-backed securities (MBS). Therefore, Ginnie Mae's balance sheet doesn't use derivatives to hedge or carry long term debt. What Ginnie Mae does is guarantee investors the timely payment of principal and interest on MBS backed by federally insured or guaranteed loans — mainly loans insured by the Federal Housing Administration (FHA) or guaranteed by the Department of Veterans Affairs (VA). Other guarantors or issuers of loans eligible as collateral for Ginnie Mae MBS include the Department of Agriculture's Rural Development (RD) and the Department of Housing and Urban Development's Office of Public and Indian Housing (PIH). Ginnie Mae securities are the only MBS to carry the full faith and credit guaranty of the United States government, which means that even in difficult times, an investment in Ginnie Mae MBS is one of the safest an investor can make.

Job Summary

JOB TYPE

Full Time

SALARY

$121k-149k (estimate)

POST DATE

06/29/2024

EXPIRATION DATE

07/25/2024

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