Citizenship and Immigration Services
Data Scientist
Camp Springs, Maryland, United States
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Mid level
- Stated salary
- $57,736 – $91,815 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Oct 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Summary
Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud. As a Data Scientist, you will gather and analyze facts, determine the accuracy of data, apply technical proficiency in using current software functionality, and research ways to improve production and increase the quality of the work product.
Duties
- As a participant in the Pathways Recent Graduates Program, you will receive both formal and on-the-job training to develop the required knowledge and skill to successfully perform the responsibilities of the position:
- Assist efforts to prioritize and collect specialized data sets from restricted and readily available sources required to create visualization products (e.g., dashboards) using information technology resources.
- Create, refine, and modify data visualization products, ensuring clarity, accuracy, and relevance of insights.
- Analyze, validate, and interpret complex datasets using statistical software, with a focus on data quality and methodological rigor.
- Design and implement validation frameworks for algorithmic analysis, assessing performance and reducing errors in data matching processes.
- Propose and apply enhancements to statistical methodologies and reporting to improve data integrity and analytical accuracy.
- Respond to data requests from leadership and other staff, providing analytical support and actionable insights.
Qualifications
The qualifications for this position must be met by 11:59 PM (Eastern Time) on 11/02/2026. Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants. Application Limit: This vacancy is limited to the first 75 applications received. All applications received prior to midnight 11:59 PM (ET) of the day the application limit is reached will be accepted and considered. If the application limit is not reached by the closing date of the announcement, all applications received during the open period will be considered. Any required documents must be submitted at the time that you apply as documents will not be accepted past the day the application limit is reached, if applicable. If you choose to edit your application after it has been submitted, it will be removed from consideration until you re-submit your application. The date your application is last submitted will be used to determine whether you meet the cut-off criteria. Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate) 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 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. GS-07: You qualify at the GS-07 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-05 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties: Assisting with the collection, cleaning, and organization of data for analysis; Supporting data analysis using statistical methods and software tools under supervision; Preparing data visualizations and reports to communicate findings to team members; and, Utilizing programming languages (such as Python, R, or SQL) to perform routine data manipulation and analysis tasks. OR You may substitute successful completion of one year of fulltime graduate education for the experience required at the GS-07 level. This education must have been obtained from an accredited college or university and demonstrate the skills necessary to do the work of the position. Check with your school to determine how many credit hours comprise a year of graduate education. If that information is not available, use 18 semester or 27 quarter hours. OR You may also substitute superior academic achievement for the experience required at the GS-07 level. You must have completed the requirements for a Bachelor's degree from an accredited college or university with either: (1) class standing in the upper third of a graduating class or major subdivision; or, (2) a grade point average of 3.0 or higher on a 4.0 scale based on four (4) years of education or the final two (2) years; or, (3) a grade point average of 3.5 or higher out of a possible 4.0 based on the average of the required courses completed in the major field or the required courses in the major field completed during the final two (2) years of the curriculum; or, (4) membership in a national scholastic honor society. GS-09: You qualify at the GS-09 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-07 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties: Conducting data preparation, cleaning, and exploratory analysis to identify trends and patterns in data sets; Applying statistical and analytical techniques to support the development of data models and generate insights for program objectives; Creating data visualizations and summary reports to effectively communicate analytical results to both technical and non-technical audiences; and, Writing and executing scripts in programming languages (such as Python, R, or SQL) to automate data processing and analysis tasks. OR You may substitute 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree for experience required at the GS-09 grade level. Such education must have been obtained in an accredited college or university and demonstrate the knowledge, skills, and abilities necessary to do the work of this position. Check with your school to determine how many credit hours comprise two years of graduate education. If that information is not available, use 36 semester or 54 quarter hours. Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 11/02/2026. You must upload your resume under the "Resume" category. Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement. Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions. Please ensure EACH work history includes ALL of the following information: Job Title (include series and grade if Federal Job) Duties (be specific in describing your duties) Employer's name and address Supervisor name and phone number Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008) Start a
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