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Agencies that are hiring:

As an Program Analyst (Data Analytics), referred to here as Data Scientist, you will provide technical expertise improving the way it serves the public in support of agency missions and the Evidence Act. You will apply analytical methods to solving problems, communicate analyses findings to policy makers, and providing additional insight and evidence into policy making processes that better serve the American People.

Skills and responsibilities

  • Automate the collection of data from varying sources, formats, and quality and prepare them for analysis.
  • Apply a variety of analytical approaches to solve mission focused policy, methodologies, and/or administrative problems in a fast -paced environment.
  • Clearly and concisely present the findings of analytical products to policymakers and non-technical audiences.
  • Regularly conducts analysis in a programming or statistical software suite such as: R, Python, SAS, SPSS, STATA, Tableau, PowerBI (Specific Agency requirements may vary).
  • Works with large data sets and/or data coming in at a high rate.
  • GS-14 level candidates would be expected to work independently and/or act as a senior analyst in teams. They are a subject matter expert advising senior policy makers on methodological or analytical issues.


  • Location:
  • Deadline:


Minimum qualifications

You must have at least a year demonstrating accomplishment of the duties and competencies described below. One year of specialized experience is equivalent to 12 months at 40 hours per week. If your position was not full time, you must indicate the number of hours worked per week.

Data Wrangling: Work with teams to develop data products and definitions. Use appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data.

Study Design and Data Analysis: Consult with stakeholders and customers to identify the appropriate data, methodological approach, and design. Conducts observational analyses using software and/or programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions. Derive meaning from big data (i.e. datasets that may be large, disparate, unstructured, and/or complex).

Communication: Translate complex concepts, findings, and limitations into concise, plain language. Closely tie findings and conclusions into the agency mission, original problem statement and team objectives. Research and design presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate. Collaborates with teammates, customers, and stakeholders in a reproducible and organized manner.

GS-13: To qualify for the GS-13 level, your resume must show at least one year experience working with teams to develop data products and definitions, consulting with diverse stakeholders and using analysis tools to design and implement data analyses, and demonstrate experience translating data analyses into meaningful, easily understood communications.

GS-14: To qualify for the GS-14 level, in addition to what is described at the GS-13 level, your resume must show at least one year experience working across silos to successfully deliver quantifiable impact, that you've led and advised leadership on data wrangling, implemented data analysis projects in an agile way through the entire lifecycle with a focus on study design and stakeholder needs, and have been recognized as an expert on communicating data analysis results.

Applicants must meet all qualifications requirements by the closing date of the announcement.