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USA remote

Data Scientist (Recent Graduate)

U.S. Census BureauSuitland, MarylandPosted 23 Oct 2026

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About this role

Applicants who apply under this Job Opportunity Announcement may opt-in (at their request) to allow the sharing of their resume, cover letter, transcripts, certifications, and other associated documents and applicable personal information shared with other Department of Commerce (DOC) Bureaus/Offices who have vacancies within the same occupational series, grade and pay band (or its equivalent), and full performance level in the same duty location or commuting area of the duty location listed on the Job Opportunity Announcement.

Applicants that apply for General Schedule (GS) positions can be considered for pay band positions under one of the DOC's alternative personnel systems (i.e., Commerce Alternative Personnel System (CAPS), or Alternative Personnel Management System (APMS)) that have the equivalent GS grade level and full performance level, and similarly, CAPS and APMS applicants may be considered for GS positions or one of DOC's alternative personnel systems.

Upon acceptance of a position, the employee will be subject to the corresponding pay system (i.e., GS, CAPS or APMS). Applying to this announcement does not replace the need to apply to other job opportunity announcements for which they wish to receive consideration. MINIMUM QUALIFICATION REQUIREMENTS: Basic Entry Requirements for All Grade Levels: You must be a Recent College Graduates from qualifying institutions within two years of degree or certification (Veterans precluded by their military service obligation, will have up to six years to apply).

Students with a transcript with a degree confer date on or before (December 31, 2026), will be considered for the Recent Graduate Program. Graduation / expect graduation date MUST be indicated on your resume. NOTE: To show proof of meeting the Basic Entry Requirements, all applicants MUST submit a copy of their college transcripts. See the Required Documents section for more information. Minimum Education Requirement: Individual Occupational Requirement for all grades: 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. In addition to meeting the minimum education requirement listed above, applicants must have specialized experience and/or directly related education in the amounts listed below for each grade level.

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GS-07: Specialized Experience: For the GS-07, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-05 in the Federal service. Experience for this position includes:(1) analyzing data modeling concepts and reviewing data for trends from multiple systems, (2) assisting in research and statistical analysis on available data to improve program materials and documentation, and (3) perform basic queries using various types of database and analytical tools.

OR YOU MAY QUALIFY FOR THE GS-07 BASED ON EDUCATION: 1 full year of graduate-level education or superior academic achievement. SUPERIOR ACADEMIC ACHIEVEMENT: Bachelor's degree with superior academic achievement is defined as:(1) Class standing -- You must be in the upper third of the graduating class in the college, university, or major subdivision based on completed courses, (2) Grade-point average (G.P.A.) -- You must have 3.0 or higher out of a possible 4.0 based on 4 years of education, or as computed based on courses completed during the final 2 years of the curriculum OR 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 2 years of the curriculum, or (3) Election to membership in a national scholastic honor society -- You are a member of one of the national scholastic honor societies recognized by the Association of College Honor Societies (https://www.achshonor.org/) GS-09: SPECIALIZED EXPERIENCE: For the GS-09, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-07 in the Federal service.

Experience for this position includes:(1) providing support in planning, designing, and implementing data science applications, models, and guiding principles for data use and analysis; (2) participating in defining data requirements and the integration of enabling technologies to collect, extract, engineer, and transform data from traditional and non-traditional sources; and (3) evaluating advances in products and technologies related to data and information technology sciences (e.g., cloud-based data-analytical frameworks and platforms; compatibility among platforms, and new ontologies/vocabularies).

OR YOU MAY QUALIFY FOR THE GS-09 BASED ON EDUCATION: 2 years of progressively higher-level graduate education leading to a master's degree or master's or equivalent graduate degree. NOTE: Education and experience may be combined for all grade levels for which both education and experience are acceptable. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social).

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer. After you submit this application, you will receive an e-mail informing you that a USA Hire assessment is required. You will have 48 hours from the date you submit your application to complete the assessment as this assessment is part of your application.

Source listing: usajobs

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