This position is located at Department of Housing and Urban Development, Office of the Chief Financial Officer.

Duties

As a/an Data Scientist, you will: Serve as an authoritative source to OCFO Systems and other offices in data management and statistical areas with respect to all phases of study design, data analysis, and statistical interpretation of the results relating to projects under consideration. Evaluate study proposals in terms of appropriateness of study design, outcome measures, data collection and analysis methods, and quality control. This includes developing data sets, queries, and data storage methodologies and requires the application of data management principles, procedures, practices, methodologies, and tools such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. Lead the planning, development, implementation, and administration data, reports, data storage, and data retrieval. Examples of data accessed include but is not limited to demographic data; program outcomes; program utilization metrics; risk and asset analytics, qualitative and quantitative program specific data; economic indicators; financial and economic data. Develop predictive analytics tools and methods in order to assist in anticipating future agency program and project needs. Translate medium to complex concepts, findings, and limitations into concise, plain language. Closely ties findings and conclusions into the agency mission, original problem statement, and team objectives. Research and design presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate. Collaborate with teammates, customers, and stakeholders in a reproducible and organized manner. Consult with internal and external stakeholders and customers to identify the appropriate data, methodological approach, and design. Conduct observational analyses using software and/or advanced programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions.

Requirements

Qualifications

You must meet the following requirements by the closing date of this announcement. 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 is defined as: -Performing quantitative and qualitative analysis for financial cross sectional data; AND -Collecting data through multiple mechanisms (e.g., surveys or HUD systems) for data analysis; AND -Preparing and delivering technical/narrative reports for making program decisions; AND -Reporting results or trends in graphs, charts, or dashboards. 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.

Education

The education generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. If you are qualifying based on foreign education, you must submit proof of creditability of education as evaluated by a credentialing agency. Refer to the OPM instructions.

Basic Requirements:

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

Contacts

• Address Office of the Chief Financial Officer Administrative Resource Center Parkersburg, WV 26101 US
• Name: Applicant Call Center
• Phone: 304-480-7300
• Email: [email protected]