Data Scientist

01Basic 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.

AND You qualify for this position if you meet the basic requirement listed above and possess the experience as described below: Experience GS-11: You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: Participating in the use of data science techniques to assist in processing and extracting insights from structured and unstructured data using statistical software and programming languages such as R or Python.

Assisting with identifying and addressing statistical problems in data collection and summarization processes by following established procedures. Supporting the creation of basic dashboards for analytical and data-related projects using tools such as Power BI, Tableau, or Qlik. Utilizing foundational data science concepts, including introductory machine learning or statistical algorithms, to assist in producing insights that inform organizational activities.

Assisting in the preparation of briefings, presentations, and technical reports to communicate technical and analytical findings to audiences with varying technical backgrounds.

Experience GS-12: You qualify for the GS-12 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: Assisting in the application of data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.

Supporting the resolution of statistical problems encountered in data collection and summarization processes by applying established methods and recommending improvements. Contributing to the development and maintenance of dashboards for analytical and data related projects using tools such as Power BI, Tableau, or Qlik, with oversight from higher-level analysts.

Applying established data science concepts, including basic machine learning or statistical algorithms, to generate insights that support organizational decision making. Preparing and delivering technical and analytical findings through briefings, presentations, and technical reports to audiences with varying levels of technical expertise, with review by senior staff.

Experience GS-13: You qualify for the GS-13 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: Applying data science techniques to process and extract insights from structured and unstructured data using statistical software and programming languages such as R or Python.

Solving statistical problems that occur in data collection and summarization processes.- Creating dashboards, using solutions such as Power BI, Tableau, or Qlik, on analytical and data-related projects. Leveraging advanced data science concepts, including machine learning or statistical algorithms to produce insights that improve organizational outcomes and decision making.

Communicating technical and analytical findings through briefings, presentations, and technical reports to individuals with varying levels of technical expertise. NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements.

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.

You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 11/16/2026. The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees.

If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office. Background Investigation: U.S.

Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity.

During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances.

For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years.

If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions: Working for the U.S.

Government as a federal civilian or as a member of the military A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government Participation in a study abroad program sponsored by a U.S. affiliated college or university Working as a contractor, intern, consultant or volunteer supporting the U.S. government Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment.

Current and former federal employees may be required to serve or complete a probationary period.

As a Data Scientist you will serve as an expert analyst and senior management, with a primary function of providing objectively based information derived from the use of advanced scientific, mathematical, and statistical work to support data-driven decision making across HRM related areas such as the recruiting, hiring, and retention of the workforce. This position starts at a salary of $74,678.00 (GS-11, Step 1) to $138,370.00 (GS-13, Step 10).

Major Duties: Providing expertise to management through the application of advanced data science techniques including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI) to process and extract insights from structured and unstructured data and provide guidance for solutions to a variety of complex challenges to the Agency's Human Capital programs that have a significant impact on personnel decisions.

Appling advanced quantitative, computer science, mathematical, and statistical skills to interpret extremely large and unstructured data sets, the results of which will be used for forecasting critical problems and making data-driven decisions regarding the administrative and programmatic aspects of HRM and CBP's operations and management.

Advising and develops innovative strategies on measurement of the design, development, deployment, maintenance, and enhancement of large-scale projects to analyze programmatic data and forecast the effects of alternative courses of actions and programmatic gaps. Performing quantitative and qualitative analysis and data quality assurance using statistical, business intelligence, data analysis, and/or AI software and computer programs (e.g., R, Python, ChatGPT, PowerBI, Tableau, Cognos, SQL, Databricks).