Fresh Listing

Posted: February 5, 2026 (5 days ago)

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Data Scientist College Graduate

Patent and Trademark Office

Department of Commerce

Fresh

Salary

$70,623 - $111,087

per year

Closes

February 16, 2026

GS-9 Pay Grade

Base salary range: $51,332 - $66,732

Typical requirements: 1 year specialized experience at GS-8. Master's degree or 2 years graduate study.

Note: Actual salary includes locality pay (15-40%+ depending on location).

Job Description

Summary

This entry-level data scientist role at the U.S.

Patent and Trademark Office involves building and improving data systems to help the organization run more efficiently, such as analyzing information and creating visual reports to support business goals.

It's ideal for recent college graduates with a background in math, stats, or computer science who enjoy working with data and programming to solve real-world problems.

The position starts at a junior level but offers opportunities to advance within the federal government.

Key Requirements

  • Recent bachelor's or graduate degree (within last 2 years) in mathematics, statistics, computer science, data science, or related field; veterans have extended eligibility
  • For GS-09: Experience with statistical concepts, data analysis, programming (e.g., Python, R, SQL), data collection, and basic visualization techniques
  • Alternatively for GS-09: 2 years of graduate education toward a master's degree or equivalent
  • For GS-11: Experience in statistical analysis, data interpretation, statistical software, programming for data analysis, databases, and creating visualizations/reports
  • Alternatively for GS-11: 3 years of graduate education toward a Ph.D. or equivalent doctoral degree
  • Combination of education and relevant experience acceptable
  • U.S. citizenship and ability to meet OPM qualification standards for Data Science Series 1560

Full Job Description

The Enterprise Data Architecture Division (EDAD) is responsible for establishing and maintaining a robust enterprise data architecture program, to standardize, streamline, and enhance enterprise data for organizational use and for digital efficiency in meeting business objectives.

You must meet the United States Office of Personnel Management's (OPM) qualification requirements (including specialized experience and/or educational requirements) for the advertised position.

You must meet all eligibility and qualifications requirements by the closing date of the job announcement.

OPM Qualifications Standards are available at Data Science Series 1560 Applicants for this position must meet the BASIC REQUIREMENT of the College Graduate authority and the EDUCATION REQUIREMENT for the 1560 job series: BASIC REQUIREMENT: Recent graduates who have completed, within the previous two years, a bachelor's or graduate degree OR Veterans who have completed a bachelor's or graduate degree and were unable to apply within two years of obtaining their degree due to a uniformed service obligation of at least 4 years, may apply within two years of their discharge from uniformed service.

EDUCATION REQUIREMENT: 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.

In addition to meeting the specialized experience below you must meet the basic and education requirements above to qualify for this position.

Specialized Experience is experience that has equipped applicants with the particular knowledge, skills and abilities to successfully perform the duties of the position, and that is typically in or related to the position to be filled.

To be creditable, specialized experience must have been equivalent to at least the next lower grade level in the federal service.

Specialized experience for this position: For the GS-09: The next lower grade level is a GS-07.

Specialized experience for this position includes: Experience with statistical concepts and data analysis. AND Experience with programming languages (ex., Python, R, SQL).

AND Experience with data collections and basic visualization techniques.

OR EDUCATION: 2 years of progressively higher level graduate education leading to a master's degree or master's or equivalent graduate degree OR A combination of education and experience.

For the GS-11: The next lower grade level is a GS-09.

Specialized experience for this position includes: Experience performing basic statistical analysis and data interpretation AND Experience in statistical software and programming languages for data analysis.

AND Experience working with databases and creating data visualizations/reports. OR EDUCATION: 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D.

or equivalent doctoral degree.

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 experience. NOTE: This is a career-ladder position that includes grades GS-09, 11, 12, 13 and 14.

Upon satisfactory completion of qualification/performance requirements and at management's discretion, the incumbent may be advanced non-competitively to the next higher level.

It is the ability to demonstrate satisfactory performance at the next higher level in all aspects of the position that is the primary basis for consideration for promotion.

Meeting the time-in-grade requirement for the higher-grade position does not automatically entitle the incumbent to a promotion. Major Duties:

The physical worksite for this position is located in Alexandria, Virginia.

Presence at the Alexandria, VA campus is required for this role, as it includes on site functions that must be performed in person. Come join our team if you are enthusiastic about...

Providing support conducting data analysis of design algorithms to extract meaningful insights.

Assisting with applying creative and innovative approaches to perform data mining and discover new patterns from large datasets.

Supporting senior Data Scientist with developing policies, and standards for data science activities and applications.

Participating in utilizing diverse analytical and assessment methods and tools to produce comprehensive findings and actionable recommendations.

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Posted on USAJOBS: 2/5/2026 | Added to FreshGovJobs: 2/6/2026

Source: USAJOBS | ID: TMCO-ITTO-26-12875839-CG