Data Scientist (Data Management)

at  US Immigration and Customs Enforcement

QUALIFICATIONS

Please limit your resume to 5 pages. If more than 5 pages are submitted, only the first 5 pages will be reviewed to determine your eligibility/qualifications.
In addition to meeting the minimum qualifications below, you must also possess one of the following to satisfy the Individual Occupational Requirement for the GS-1560 job series:

BASIC REQUIREMENTS:

A. 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
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in above plus, additional education or appropriate experience.

YOU QUALIFY FOR THE GS-13 GRADE LEVEL IF YOU POSSESS ONE OF THE FOLLOWING:

Experience: One (1) year of specialized experience equivalent to the GS-12 grade level or equivalent performing duties such as:

• Using advanced data management concepts and techniques to interpret information;
• Developing data reports and new data systems for an organization; and
• Leveraging advanced functions like scripting and creation of complex calculated fields.

QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT. QUALIFICATION CLAIMS WILL BE SUBJECT TO VERIFICATION.

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.
Current or Former Political Appointees: 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.
The Department of Homeland Security encourages persons with disabilities to apply, to include persons with intellectual, severe physical or psychiatric disabilities, as defined by 5 CFR 213.3102(u), and/or Disabled Veterans with a compensable service-connected disability of 30 percent or more as defined by 5 CFR 315.707. Veterans, Peace Corps, VISTA volunteers, and persons with disabilities possess a wealth of unique talents, experiences, and competencies that can be invaluable to the DHS mission. If you are a member of one of these groups, you may not have to compete with the public for federal jobs. To determine your eligibility for non-competitive appointment and to understand the required documentation, click on the links above or contact the Servicing Human Resources Office listed at the bottom of this announcement.
This announcement may be used to fill additional vacancies within the National Capital Region.

EDUCATION

This job does not have an education qualification requirement.

DUTIES

As a Data Scientist (Data Management), GS-1650-13 you will perform the following duties:

• Manage the development of data reports, integration between data systems, and development of new data systems for data storage;
• Develop strategic approaches to utilize data to identify criminal activity and support complex, long-term investigations; and
• Utilize research, data science disciplines, and analytical strategies to evaluate large data sets connected to criminal investigations.

Experience: One (1) year of specialized experience equivalent to the GS-12 grade level or equivalent performing duties such as:

• Using advanced data management concepts and techniques to interpret information;
• Developing data reports and new data systems for an organization; and
• Leveraging advanced functions like scripting and creation of complex calculated fields