Supervisory Data Scientist
Citizenship and Immigration Services · Multiple Locations
Skills in this posting
The posting
Analyzes and interprets complex datasets using advanced techniques to ensure data quality, validity, and reliability to offer innovative solutions and making informed decisions.
Enhances data integrity and analytical accuracy by improving statistical methodologies, validating results, and creating clean, actionable data sets.
Leads the prioritization, collection, and validation of complex datasets to develop advanced and credible data visualizations, such as dashboards, in coordination with information technology resources.
Develops and pilots innovative interactive visualization tools and products, anticipates data discrepancies, formulates corrective strategies, and advises on adapting methodologies for new business processes and technological advancements.
Performs advanced algorithmic analysis by designing, validating, and optimizing algorithms to summarize, refine, and derive insights from complex and disparate data sources.
Assesses algorithmic performance, investigates biases or errors, and advises on efficient algorithm selection to enhance data matching and provide actionable insights to senior leadership.
Researches, analyzes, and interprets data to support evidence-based decision-making, and provides training and guidance on data validation and analytical best practices.
Oversees and guides a team responsible for the collection, integration, analysis, and delivery of HR data to inform decision-making, policy development, and strategic alignment with agency objectives.
Provides technical and administrative supervision, including developing procedures, setting goals, assigning work, resolving personnel issues, and ensuring efficient operations and productivity within HRIT program operations.
Applies data architect experience to design and guide scalable data architecture solutions that improve data quality, integration, accessibility, and analytics.
The qualifications for this position must be met by 11:59 PM (Eastern Time) on 09/08/2026. Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate) 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.
GS-14: You qualify at the GS-14 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-13 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position.
You must have experience performing the majority of the following duties: Applying data science, computer science, mathematics, and statistical methods to conduct complex analysis, support algorithm development, validate data sources, and develop business or technical recommendations.
Utilizing statistical tools, data platforms such as SAS, R, Python, SQL, Databricks, and similar technologies to query, transform, analyze, and report data from multiple sources. Developing, evaluating, and improving data collection, and processing methodologies to support data integrity, analytical accuracy, and operational decision-making.
Managing data analytics, data architecture, dashboard, reporting, automation, or business process improvement initiatives that support organizational priorities, policy development, or strategic objectives.
Leading, supervising, or guiding staff or project teams performing data analysis, visualization, engineering, reporting, predictive modeling, or related data technology functions.
Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 09/08/2026. You must upload your resume under the "Resume" category.
Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement.
Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages.
The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point.
Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions.
Please ensure EACH work history includes ALL of the following information: Job Title (include series and grade if Federal Job) Duties (be specific in describing your duties) Employer's name and address Supervisor name and phone number Start and end dates including month, day and year (e.g.
June 18 2007 to April 05 2008) Start and end dates for each grade/pay level if you've held a federal position.
Full-time or part-time status (include hours worked per week) Salary Determining length of General or Specialized Experience is dependent on the above information and failure to provide the above information may result in a finding of ineligible.
Note: Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Federal Experience: If you are using current or prior federal experience as a basis for qualifying for this position, the grade levels and length of employment (mm/dd/year) at each grade level must be listed in your work history. This information will be further validated if selected for this position.
National Service Experience (i.e., volunteer experience): 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.
The PivotHop read
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