Food Safety and Inspection Service logo

Data Scientist

Food Safety and Inspection Service

Fort Collins, COFull-time$75–130K/yrPosted today

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At a glance

Compensation
$75–130K/yr
Location
Fort Collins, CO
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Scientist works in FSIS’s Office of Planning, Analysis and Risk Management, the agency’s centralized analytics group. The office integrates and analyzes relational data and provides visualization and analytics services to support decision-making, policy development, risk management, and strategic planning. The role includes data analysis, programming, visualization, and recommendations for management and process improvement.

Skills & qualifications

RequiredNice to have

Skills

Computer ProgrammingAlgorithm DevelopmentPythonRSASSQLData CleaningData TransformationRelational Database ExtractionCode ReviewData VisualizationQlikTableauPower BIProject PlanningData AnalysisRequirements AnalysisBusiness Rules ImplementationAnalytical ReasoningProblem SolvingMathematical ReasoningStatistical ReasoningInterpersonal SkillsFlexibilityTeamworkSelf-ManagementStress ToleranceCustomer ServiceDecision MakingAttention to Detail

Qualifications

One Year Specialized ExperienceThree Years Graduate Education or DoctorateGraduate Education and Experience CombinationBachelor's Degree in Related Field30 Semester Hours or Related Experience

Full job description

Summary

Creditable Service for Annual Leave Accrual and Public Service Loan Forgiveness Program are available. This position is in the FSIS 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.

Duties

  • Analyze, interpret, review, and ensure integrity of, and review data.
  • Collaborate with subject matter experts and team members.
  • Conduct trend analysis.
  • Develop algorithms and analytical methods used in decision-making process.
  • Document data science requirements.
  • Generate business metrics.
  • Interpret data science requirements and make strategic recommendations.
  • Perform computer programming and data cleaning.
  • Present recommendations to management based on current analytics.
  • Provide recommendations for process improvements.
  • Utilize diverse analytical approaches.

Qualifications

Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and/or education, as defined below. FOR GS-11 CONSIDERATION: Applicants must have one year of specialized experience equivalent to the GS-09 grade level in the Federal service or equivalent responsibility in the private sector/pay systems. This specialized experience must include all the following: Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL. Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc. Independently extracting and transforming data from relational databases using Python, R, SAS, or SQL. You must show specific examples of your experience and describe the systems you have utilized. Reviewing software coding for accuracy. Your resume should show specific examples of using Python, R, SAS, or SQL. Developing visualizations that combine data from multiple sources using tools such as Python, R, Qlik, Tableau, or Power BI. OR 3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree OR Combination of Experience and Education: You must have an appropriate combination of successfully completed graduate level education and experience. The quality of the combination of education and experience must be sufficient to demonstrate that you possesses the knowledge, skills, and abilities required to perform work in the occupation. To determine your combination, first compute your experience as a percentage of the experience listed in the job announcement (1 year of specialized experience); then determine your education as a percentage of the education listed above; then add the two percentages. The total percentages must equal at least 100 percent. Only graduate education in excess of 2 years (36 semester hours) may be used to qualify. FOR GS-12 CONSIDERATION: Applicants must have one year of specialized experience equivalent to the GS-11 grade level in the Federal service or equivalent responsibility in the private sector/pay systems. This specialized experience must include all the following: Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL. Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc. Independently extracting and transforming data from relational databases using Python, R, SAS, or SQL. You must show specific examples of your experience and describe the systems you have utilized. Reviewing software coding for accuracy. Your resume should show specific examples of using Python, R, SAS, or SQL. Developing visualizations that combine data from multiple sources using tools such as Python, R, Qlik, Tableau, or Power BI. Designing and implementing plans to accomplish analytic or computer programming projects. Leading data analysis projects to capture and implement data requirements and business rules. Education is not substitutable at the GS-12 grade level. Applicants must show 52 weeks specialized experience and the required education shown below in the education section. 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

Basic Requirements: You must provide transcripts showing, at a minimum, the below educational 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 the degree section above, plus additional education or appropriate experience. Click here for more information on this series: OPM Data Science Series 1560 How You Will Be Evaluated

Due to the Direct-Hire Authority (DHA), applicants are not rated and ranked numerically, and Veteran's preference does not apply. You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), your responses on the application questionnaire, and your responses to all assessments required for this position. Evaluation will be determined based on applicants' quality of experience and the extent to which they possess the following knowledge, skills, and abilities (KSA) or competencies: Analytical Programming Problem Solving Mathematical/Statistical Reasoning Planning and Evaluating Interpersonal Skills Flexibility Integrity / Honesty Teamwork Reasoning Self-Management Stress Tolerance Customer Service Learning Decision Making Maintain Information Attention to Detail Interpersonal Skills Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on an assessment may also result in your removal from consideration. Your application, including the online Assessment Questionnaire, will be reviewed to determine if you meet (a) minimum qualification requirements and (b) your resume supports the answers provided to the job-specific questions. Your resume must clearly support your responses to all the questions addressing experience and education relevant to this position. Those determined to be in the best qualified category will be referred to the selecting official for consideration. 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 and including removal from the Federal service. Clicking the link below will present a preview of the application form; i.e. the online questionnaire. The application form link below will only provide a preview and does not initiate the application process. To initiate the online application process, click the "Apply" button to the right. To preview the application questionnaire, click the following link: https://apply.usastaffing.gov/ViewQuestionnaire/13106501 Your application will be reviewed to verify that you meet the eligibility and qualification requirements for the position prior to issuing referral lists to the selecting official. If further evaluation or interviews are required, you will be contacted. Log in to your USAJOBS account to check your application status. You must choose to turn on email notifications in your USAJOBS profile if you want to receive important email notifications that may impact your applicant experience (e.g. If you start an application and do not submit it prior to the closing date, USAJOBS will send an email reminder that the closing date is approaching and your application is in an incomplete status). Other 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. If you are selected for a position with further promotion potential, you will be placed under a career development plan and may be non-competitively promoted if you successfully complete the requirements and if recommended by management. However, promotion is neither implied nor guaranteed. Reasonable Accommodation (RA) Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments. Selectees may be eligible for Creditable Service for Annual Leave Accrual (CSALA). Public Service Loan Forgiveness Program. For more information please visit: PSLF Program.

How this job compares

Set against the 4,811 open Data Scientist jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$75–130K/yr
  • Colorado median$113–180K/yr95 salary ranges
  • US median$136–215K/yr3,690 salary ranges

This range's midpoint, $103K, is 34% below the Colorado median midpoint ($155K) — in the lowest quarter of Data Scientist salary ranges in Colorado.

Openings
Olive Jobs lists 109 open Data Scientist jobs in Colorado and 4,811 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Colorado
Experience
This posting asks for at least 1 year of experience — less than three in four Data Scientist postings that state a minimum ask for (median 5 years, across 4,123 postings).
Education
2,276 of the 4,811 open Data Scientist jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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