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Senior Data Scientist

Department of Agriculture
Food Safety and Inspection Service
FIELD SUPPORT BRANCH

Summary

This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning.

Overview

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Open & closing dates
04/29/2026 to 05/05/2026
Salary
$125,776 - $163,514 per year

Salary dependent upon location selected for. Range shows represents the Rest of the U.S. locality pay table.

Pay scale & grade
GS 14
Location
1 vacancy in the following location:
Location Negotiable After Selection
Remote job
No
Telework eligible
Yes—FSIS does not currently have a telework policy.
Travel Required
Occasional travel - You may be expected to travel for this position.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
14
Supervisory status
No
Security clearance
Other
Drug test
No
Position sensitivity and risk
Moderate Risk (MR)
Trust determination process
Financial disclosure
No
Bargaining unit status
No
Announcement number
FSIS-26-MMP-12945830-DW
Control number
866750100

This job is open to

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Clarification from the agency

Applications will be accepted only from current permanent Food Safety and Inspection Service employees with competitive status, and CTAP/RPL eligible candidates.

Duties

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  • Perform data cleaning and visualization.
  • Perform trend analysis and algorithm development.
  • Present briefings to senior leadership.
  • Develop new prescriptive analytics used in decision making.
  • Present alternate solutions to analytics and future concepts.
  • Develop statistical and machine learning models.
  • Analyze outputs from analyses.
  • Lead the design for data enhancement.
  • Recommend process improvement and design solutions to correct system errors.
  • Perform quality checks for statistical inference.
  • Interpret policy and regulatory requirements, provide education on new approaches to data analysis, and explain data principles.
  • Communicate in writing to internal and external individuals.
  • Select relevant sources of information.
  • Develop recommendations for data collection activities and data integration as well as usage and control policies.
  • Determine data used to support cases and develop hypotheses for testing.
  • Provide business metrics for assigned projects.
  • Maintain knowledge of science based analytical processes.

Requirements

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Conditions of employment

  • You must be a US Citizen or US National.
  • Males born after 12/31/1959 must be Selective Service registered or exempt.
  • Subject to satisfactory adjudication of background investigation and/or fingerprint check.
  • May be required to successfully complete a probationary or trial period, unless previously served. Refer to the Next Steps section for more information.
  • Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
  • Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit https://www.e-verify.gov/.
  • False statements or responses on a resume or application can jeopardize employment and may be grounds for disciplinary action, including removal from Federal service.
  • If you are selected, you may need to complete a Declaration for Federal Employment (OF-306) prior to being appointed to determine suitability for Federal employment and to authorize a background investigation.

Qualifications

Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including time-in-grade restrictions, specialized experience and/or education, as defined below.

Time in Grade: Current federal employees applying for a promotion opportunity must meet the time in grade requirement of 52 weeks of service at the next lower grade level in the normal line of progression for the position being filled.

For the GS-14 grade level: Applicants must have one year of specialized experience (equivalent to the GS-13 grade level) that demonstrates:
· Using Python or R in support of data analytics projects.
· Developing and executing approaches for analyzing, interpreting, visualizing, and verifying complex data and analyses.
· Leading projects by establishing objectives, assigning responsibilities, reviewing deliverables, and offering expert guidance on
analytical programming, statistical techniques, and data visualization strategies.
· Developing oral and written presentations communicating complex and technical analyses to inform, influence, and persuade a variety
of audiences.

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 and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

Mathematical Statistics Series 1529
Basic Requirements:
Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
or
Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education.

Evaluation of Education: Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading.

Click here for more information on this series: OPM Mathematical Statistics Series 1529

Computer Science Series 1550
Series Definition: This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences.

Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.

Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.

Click here for more information on this series: OPM Computer Science Series 1550

Data Science Series 1560
Basic Requirements:
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.

Click here for more information on this series: OPM Data Science Series 1560

Additional information

Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100.

Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact: USDA's TARGET Center at 202-720-2600 (voice and TDD).

It is the policy of the Government not to deny employment simply because an individual has been unemployed or has had financial difficulties that have arisen through no fault of their own. To see more information visit CHCO Council.

Under the Fair Chance Act, agencies are not allowed to request information about an applicant's criminal history until a conditional offer of employment has been made, except as allowed for access to classified information; assignment to national security duties or positions; acceptance or retention in the armed forces; or recruitment of a Federal law enforcement officer. An applicant may submit a complaint or any other information related to an organization's alleged noncompliance with the Fair Chance Act. The complaint must be submitted within 30 calendar days of the date of the alleged noncompliance. To make a Fair Chance Act inquiry or complaint, send an email with the appropriate information to fsis.fca@usda.gov, subject line: Fair Chance Act.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated based on how well you meet the qualifications and competencies listed in this vacancy announcement. Only those highly rated by the subject matter experts will be referred to the selecting official. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), the responses you provide on the application questionnaire, and the result of the preliminary interviewrequired for this position. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):

  • Problem Solving
  • Oral Communication
  • Technical Competence
  • Analytical Programming
  • Manages and Organizes Information
In addition to the online questionnaire, applicants for this position will be evaluated by one or more subject matter experts.
For the preliminary interviews, subject matter experts will reach out to you to schedule a phone interview. Please ensure that your contact information is up-to-date.

Preference will be applied to applicants who move forward after the pre-certificate evaluation. Applicants who meet the minimum qualification requirements and are determined to be among the best qualified candidates will be referred to the hiring manager for consideration. Non-competitive candidates and applicants under some special hiring authorities need only meet minimum qualifications to be referred.

To be considered for this position, you must complete all required steps in the process. In addition to the application and assessment questionnaire, this position requires a preliminary interview to evaluate competencies required to perform the job.

Note: If after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your score may be adjusted to more accurately reflect your abilities, or you may be found ineligible. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service.

To view the application form, visit: https://apply.usastaffing.gov/ViewQuestionnaire/12945830

Food Safety and Inspection Service

The Food Safety and Inspection Service (FSIS) is the agency in the U.S. Department of Agriculture (USDA) responsible for protecting the public's health by ensuring the safety of the Nation's commercial supply of meat, poultry, and processed egg products.

For more information on USDA and the Food Safety and Inspection Service, visit FSIS.

Agency contact information

Doug Welder
Phone
612-852-7713
Email
douglas.welder@usda.gov
Address
Food Safety and Inspection Service
1400 Independence Ave SW
Washington, DC 20250
US

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