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Government · Technology

Data Scientist (Direct Hire)

Social Security AdministrationMultiple Locations, United StatesFlex$107,446 - $139,684 per yearPosted Nov 9, 2026Closes Nov 13, 2026

Social Security Administration has an opening for a Data Scientist (Direct Hire) in Multiple Locations, United States. It is listed as a flex position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Social Security Administration has an opening for a Data Scientist (Direct Hire) in Multiple Locations, United States. It is listed as a flex position.

Skills and tools named in the text include Python, SQL and statistics.

The listing gives the pay as $107,446 - $139,684 per year.

The advert does not mention visa sponsorship. If you would move to United States for this job, check the official work permit route first (DGJ Insight lists it where we have it).

Dev Global Jobs found this job on USAJobs on Nov 9, 2026; applications close on Nov 13, 2026.

Employer
Social Security Administration
Location
Multiple Locations, United States
Job type
Flex
Pay
$107,446 - $139,684 per year
Found
Nov 9, 2026 on USAJobs
Closes
Nov 13, 2026
Employer text
534 words, about 2 min to read
Skills named in the advert
PythonSQLstatistics
Before you apply
  • Apply only on the official page (usajobs.gov). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (Python, SQL and statistics) in your CV where you really have them; applicant tracking systems look for these words.
  • Plan to apply before Nov 13, 2026.
  • Read the employer’s full text below (about 2 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 9, 2026
Pay benchmark
Average wage, United States
$86,977 average / year

This job's listed pay is 42% above the benchmark.

This job: $107,446 to 139,684

Source: OECD Average annual wages, 2025

Work permit route
  • H-1B specialty occupation: Employer petition, bachelor's degree or higher in the specialty; annual cap and lottery
  • L-1 intracompany transferee: Employees of a related company abroad transferring to a US office
  • O-1 extraordinary ability: Evidence of extraordinary ability in sciences, arts, education, business or athletics

Official routes: USCIS

Job description

About the role

Full text from the employer, as published on USAJobs, arranged into sections. Nothing added or removed.

To meet Minimum Qualifications for this Data Scientist position you must demonstrate: (1) the Individual Occupational Requirement (IOR) for the federal 1560 series AND (2) at least 52 weeks of Specialized Experience (1) INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) (All Applicants) A. Successful completion of a course of study in an accredited college or university resulting in a degree in one of the following: 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. A combination of education and experience that includes successful completion of courses equivalent to a major field of study (30 semester hours) in mathematics, statistics, computer science, data science or a field directly related to the position, plus additional education or appropriate experience.

Individual Occupational Requirements must be demonstrated even if you currently hold, or have previously held, a position in this series in the federal government.

Transcripts are required to substantiate claimed education SEE EDUCATION BELOW -- Applicants who don't demonstrate these requirements will not be considered. (2) SPECIALIZED EXPERIENCE must have been gained in a federal position at or above GS-13 OR (if your position is on another federal pay scale OR outside of federal service) by performing duties at a level of responsibility and difficulty equivalent to GS-13 or above.

Specialized Experience is work that primarily consists of: (1) Leading the development and improvement of enterprise data pipelines using SQL and Python; AND (2) Providing guidance on data architecture, data security, and complex data issues; AND (3) Managing the evaluation, integration, and automation of new data sources. If you have this experience, your resume must describe, in your own words, the specific duties you perform that demonstrate it. Reviewers cannot assume you perform duties you don't describe.

Since Specialized Experience also has a time component, it must be evident that the duties you describe are at the required level for at least 52 weeks. MINIMUM QUALIFICATIONS (IOR and Specialized Experience) must be met by the closing date of this announcement. Information on this job series can be found at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

Develops algorithms and/or tools to support data manipulation and processing. Develops, integrates, and maintains data and extract, transform, and load (ETL) procedures that are logically sound.,Maintainable, sustainable, auditable, flexible, repeatable, and scalable on a variety of structured and unstructured data.

Maps data and validates and implements ETL procedures.,Analyzes complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.,Develops data set processes and uses programming language and tools to identify ways to improve data reliability, efficiency and quality for missions, goals, and future planning.,Ensures on-going consultation and instruction to functional area users on information systems, databases, and file accessing techniques, search strategies.,Processing and file assessing techniques, processing and space utilization efficiencies, database security procedures, backup and program recovery techniques, and testing techniques.,As needed, provides assistance to programmers/analysts in development, testing, and implementation of new or modified systems or programs.,Works with teams to develop data products and definitions.,Use appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data.

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