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Performs professional data science work including data analysis, machine learning, and predictive modeling.
2025 Base Pay (before locality adjustment)
| Grade | Step 1 | Step 2 | Step 3 | Step 4 | Step 5 | Step 6 | Step 7 | Step 8 | Step 9 | Step 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| GS-9 | $52,205 | $53,945 | $55,685 | $57,425 | $59,165 | $60,905 | $62,645 | $64,385 | $66,125 | $67,865 |
| GS-11 | $63,163 | $65,268 | $67,373 | $69,478 | $71,583 | $73,688 | $75,793 | $77,898 | $80,003 | $82,108 |
| GS-12 | $75,706 | $78,229 | $80,752 | $83,275 | $85,798 | $88,321 | $90,844 | $93,367 | $95,890 | $98,422 |
| GS-13 | $90,025 | $93,026 | $96,027 | $99,028 | $102,029 | $105,030 | $108,031 | $111,032 | $114,033 | $117,034 |
| GS-14 | $106,382 | $109,928 | $113,474 | $117,020 | $120,566 | $124,112 | $127,658 | $131,204 | $134,750 | $138,296 |
| GS-15 | $125,133 | $129,304 | $133,475 | $137,646 | $141,817 | $145,988 | $150,159 | $154,330 | $158,501 | $162,672 |
Note: These are 2025 base pay rates. Most federal employees receive locality pay adjustments of 15-40%+ depending on location.
Official OPM qualification standards for GS-1560
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.
Step-by-step guide to landing a federal data science position
Read the OPM qualification standards above to understand the education and experience requirements for your target grade level.
Match your years of experience and education to the appropriate GS grade. Generally: GS-5 (entry), GS-7/9 (junior), GS-11/12 (journey), GS-13+ (senior).
Collect your DD-214, SF-50 (if applicable), transcripts, certifications, and any training records that demonstrate your qualifications.
Create a detailed federal resume (2-5 pages) that addresses every qualification requirement. Include hours worked per week, supervisor contact info, and specific accomplishments.
Search for open positions, carefully answer all assessment questions, and submit your application before the closing date.
Military jobs that transition to GS-1560
CTNs have experience with data analysis and network security, providing a strong foundation for data science roles.
Fusion Analysts have strong skills in data analysis and intelligence synthesis, which align well with data science roles.
Operations Intelligence specialists are adept at analyzing data and creating actionable insights, which is valuable in data science.
💡 Tip: Your unique military experience may qualify you even if your MOS isn't listed.
Skill in developing ML models and algorithms.
Ability to analyze complex datasets.
Proficiency in Python, R, SQL, and related tools.
Strong foundation in statistical methods.
Skill in creating effective visualizations.
Knowledge of big data technologies and platforms.
Ability to present insights to stakeholders.
Skill in framing problems for data analysis.
💡 Use these phrases to help ATS systems and human recruiters find your qualifications.
A GS-1560 Data Scientist applies machine learning, statistical analysis, and advanced analytics to extract insights from large federal datasets. These specialists build predictive models, create data visualizations, develop ML algorithms, and support data-driven decision-making across agencies including DOD, VA, HHS, and DHS working on challenges from healthcare to national security.
Federal Data Scientists earn between $52,205 (GS-9 Step 1) and $162,672 (GS-15 Step 10) on the 2025 GS scale. Most positions are at GS-12 through GS-14. A GS-13 Data Scientist earns $90,025-$117,034. This is a newer series with high demand—agencies often offer recruitment incentives and special rate supplements to attract talent.
GS-1560 requires a degree in mathematics, statistics, computer science, data science, or a directly related field. Alternatively, 30 semester hours equivalent to a major in these fields plus relevant experience qualifies. Proficiency in Python, R, SQL, machine learning frameworks, and data visualization tools are essential competencies.
Relevant military experience combined with required quantitative coursework can qualify. Veterans with experience in military intelligence analytics, operations research, or data analysis have transferable skills. Experience with military data systems, predictive modeling for mission planning, or analytical support to commanders provides valuable background.
Data Scientists typically enter at GS-9 or GS-11 and can advance to GS-12/13 rapidly given the high demand. Senior data scientists and team leads reach GS-14/15. Career paths include specializing in specific domains (healthcare, defense, finance), advancing to Chief Data Scientist roles, or transitioning to AI/ML leadership positions.
Search USAJOBS.gov for "Data Scientist" under series 1560. DOD, VA, HHS, Census Bureau, and DHS are major employers. Highlight ML/AI experience, programming proficiency (Python, R), big data tools (Spark, Hadoop), and visualization skills. Include specific projects, datasets analyzed, and any Kaggle competitions or technical publications.
Create a tailored federal resume that meets OPM standards.