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Data Scientist

General Services Administration
Office of Governmentwide Policy
This job announcement has closed

Summary

As a Data Scientist, you will serve as the subject matter expert in the highly technical and specialized area of data sciences, performing complex studies that span business processes and operations at the program and enterprise levels. 

Location of position: This is a VIRTUAL position within General Services Administration, Office of Government-wide Policy, Office of Evaluation Sciences.

We are currently filling one vacancy, but additional vacancies may be filled as needed.

Overview

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Hiring complete
Open & closing dates
03/07/2024 to 03/13/2024
Salary
$103,409 to - $167,336 per year
Pay scale & grade
GS 13
Location
Anywhere in the U.S. (remote job)
few vacancies
Remote job
Yes - This position is 100% remote and can be filled anywhere in the U.S. The location of this position will be determined upon selection.
Telework eligible
Not applicable, this is a remote position.
Travel Required
Occasional travel - May be required to attend meetings and training.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
13
Job family (Series)
Supervisory status
No
Security clearance
Other
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Announcement number
M-2024-0021
Control number
780437400

This job is open to

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Clarification from the agency

This public notice is issued under Direct Hire Authority (DHA) to recruit talent to occupations for which there is a severe shortage of candidates or a critical hiring need. This means that we can hire any qualified candidate from this notice or any other source. About this DHA notice: -Current civil service employees will receive new appointments if selected under this DHA. -For information on DHA, please visit https://www.opm.gov/policy-data-oversight/hiring-information/direct-hire-authority/

Videos

Duties

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  • Study Design: Consult with stakeholders and customers to identify the appropriate data, methodological approach, and design for projects to evaluate program effectiveness.
  • Data Analysis: Conduct observational analyses using software and/or programming languages such as R, Python, or SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions. Derive meaning from big data (i.e. datasets that may be large, disparate, unstructured, and/or complex).   
  • Communication: Translate complex concepts, findings, and limitations into concise, plain language. Closely tie 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. 
  • Applied Data Science: Work with teams to develop data products and definitions. Use appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data. Determine the adequacy of input data and ensures integrity and pertinence of output data.
  • Project Management: Collaborate with teammates, customers, and stakeholders in a reproducible and organized manner.

Requirements

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Conditions of employment

  • US Citizenship or National (Residents of American Samoa and Swains Island)
  • Meet all eligibility requirements within 30 days of the closing date.
  • Register with Selective Service if you are a male born after 12/31/1959

If selected, you must meet the following conditions:

  • Current or Former Political Appointees: The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C or Non­Career SES employee in the Executive Branch, you must disclose this information to the HR Office. Failure to disclose this information could result in disciplinary action including removal from Federal Service.
  • Undergo and pass a background investigation (Tier 2 investigation level).
  • Have your identity and work status eligibility verified if you are not a GSA employee.  We will use the Department of Homeland Security’s e-Verify system for this. Any discrepancies must be resolved as a condition of continued employment.
  • Serve a one year probationary period, if required. 

Qualifications

For each job on your resume, provide:

  • the exact dates you held  each job (from month/year to month/year)
  • number of hours per week you worked (if part time).    

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.

For a brief video on creating a Federal resume, click here

The GS-13 salary range starts at $103,409 per year.  The salary shown in this announcement includes Locality Pay. The Locality Pay will be determined once the selectee's duty location has been established.

This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.  

BASIC EDUCATION REQUIREMENT: Applicants must meet A or B below to satisfy the basic education requirement for Data Scientist.

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.

For GS-13

SPECIALIZED EXPERIENCE: In addition to the Basic Requirements above, all candidates must possess one year of specialized experience equivalent to the GS-12 in the federal service. Specialized experience is experience:

  1. Performing data analysis related to program evaluation (at the organizational, enterprise, or agency level) using systematic data collection and analysis to assess effectiveness and efficiency; 
  2. Organizing and analyzing large amounts of structured and unstructured data at the program and enterprise levels to locate, access, merge, clean, and standardize data and to develop derived metrics;
  3. Collecting and preparing data using scripting languages and, conducting analyses using one of the following programming languages: R, Python, or SQL); 
  4. Applying analytical techniques and tools to produce data visualizations, such as box plots, density plots, histograms, scatter plots; and 
  5. Creating research and evaluation presentations and results summaries based on data analyses.

Education

Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit:  https://sites.ed.gov/international/recognition-of-foreign-qualifications/ 

Additional information

Bargaining Unit Status: This position is ineligible for the bargaining unit.

Relocation-related expenses are not approved and will be your responsibility.  

On a case-by-case basis, the following incentives may be approved:

·       Recruitment incentive if you are new to the federal government

·       Credit toward vacation leave if you are new to the federal government

Additional vacancies may be filled through this announcement in this or other GSA organizations within the same commuting area as needed; through other means; or not at all.

GSA is committed to diversity, equity, inclusion and accessibility that goes beyond our compliance with EEO regulations including: 

  • Valuing and embracing diversity, promoting equity, inclusion and accessibility, and expecting cultural competence; and
  • Fostering a work environment where all employees, customers and stakeholders feel respected and valued.
Our commitment is: 
  • Reflected in our policies, procedures and work environment;
  • Recognized by our employees, customers and stakeholders; and
  • Drives our efforts to recruit, attract, retain and engage the diverse workforce needed to achieve our mission.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Applications will be evaluated against the basic qualifications. Qualified candidates will be considered in accordance with the Office of Personnel Management Direct Hire Guidelines. Applications will not be rated or ranked. Veterans’ Preference does not apply to the direct hire recruitment procedures.

You may not be considered for the position, if any part of the application is incomplete or missing the required supporting documentation. Falsifying your background, education and/or experience is cause for not hiring you or dismissing you if hired. 

ICTAP/CTAP Candidates: The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced Federal competitive service employees with selection priority over other candidates for competitive service vacancies. To be qualified you must submit appropriate documentation (a copy of the agency notice, your most recent performance rating, and your most recent SF-50 noting current position, grade level, and duty location) and be found “well-qualified" for this vacancy. In addition to meeting the basic qualifications stated in the qualification section of this announcement, well qualified is defined as: experience that exceeds the minimum qualifications of the position, demonstrated by meeting at least 51% or more of the competencies/KSA’s listed below (i.e. 3 out of 5, or 4 out of 6, or 5 out of 8, etc.) 

  1. Skill in analyzing data, applying and explaining the statistical and mathematical principles used. 
  2. Skill in organizing and analyzing large amounts of structured and unstructured data sets using data analytical tools (including R, Python, SQL, Scala, Java programming language), to include experience locating, accessing, merging, cleaning, and standardizing data, and developing derived metrics.
  3. Ability to present the results of in-depth analysis or technical concepts using oral, written, and visual mediums to a non-technical audience, and to effectively articulate the limitations of data findings.
  4. Skill in quantitative analysis, covering a comprehensive range of techniques.
  5. Skill in working across organizational boundaries to identify and resolve data quality issues and drive an organization towards better data practices.

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