Data Scientist

Please limit your resume to 2 pages. If more than 2 pages are submitted, only the first 2 pages will be reviewed to determine your eligibility/qualifications. IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position. Basic 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 paragraph above, plus additional education or appropriate experience. IN ADDITION TO THE BASIC REQUIREMENTS ABOVE: Minimum Qualifications: You qualify for the GS-12 grade level if you possess one (1) year of specialized experience at the GS-11 grade level or equivalent performing duties such as: 1. Ensures the statistical validity and accuracy of all reports. 2. Develops new data products, such as forecast models, cost projection calculators, interactive dashboards, automated reports, and performance outcome (KPI) visualizations. 3. Participates in drafting data management strategies. You qualify for the GS-13 grade level if you possess one (1) year of specialized experience at the GS-12 grade level or equivalent performing duties such as: 1. Plans and conducts special studies to answer ad-hoc inquiries from leadership. 2. Builds tools/apps to support the collection of data for further analysis. 3. Participates in drafting data management strategies. 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. View Common Definitions of terms found in this announcement. Organizational Location: This position is located in the Department of Homeland Security, U.S. Immigration and Customs Enforcement, Chief Financial Officer, in Washington, District of Columbia. This is a non-bargaining unit position.

Position Details

• Job Title: Data Scientist
• Company / Organisation: Immigration and Customs Enforcement
• Location: Washington, District of Columbia
• Employment Type: Full-time
• Field / Industry: Software Development
• Work Arrangement: On-site or hybrid — Washington, District of Columbia

About This Opportunity

This full-time opportunity at Immigration and Customs Enforcement is an excellent opening for experienced professionals in the field of software engineering and technology. The role is structured around an on-site or hybrid environment based in Washington, District of Columbia and is designed for candidates who are ready to make a meaningful contribution from the moment they join.

Based in Washington, District of Columbia, this role offers the opportunity to collaborate closely with a local team in a structured professional environment. Candidates currently based in the area or open to relocation are strongly encouraged to apply.

Whether you are an established practitioner in software engineering and technology or a highly skilled professional looking for your next challenge, this Data Scientist role offers the platform to apply your expertise in a real-world, results-oriented environment. Immigration and Customs Enforcement is looking for a candidate who can hit the ground running and add genuine value to the team.

Who Should Apply

This role is ideal for candidates who have a solid background in software engineering and technology and a demonstrable track record of delivering high-quality results. You should possess analytical thinking, attention to technical detail, and a methodical approach to problem-solving. Experience working with modern development tools, version control systems, and cloud platforms will be an advantage, though a commitment to continuous learning and professional development is equally valued.

Beyond technical or domain expertise, Immigration and Customs Enforcement is looking for someone who communicates clearly, collaborates effectively with colleagues and stakeholders, and takes ownership of their work from start to finish. If you thrive in a professional environment and are passionate about the opportunity to build reliable, scalable, and high-performing digital products, we encourage you to apply.

Key Competencies for This Role

Successful candidates for the Data Scientist position at Immigration and Customs Enforcement will typically demonstrate the following core competencies:

• Domain expertise — a strong foundation of knowledge and hands-on experience in software engineering and technology
• Problem-solving ability — the capacity to identify challenges, think critically, and implement practical solutions efficiently
• Communication skills — clear and professional communication with colleagues, stakeholders, and partners at all levels
• Self-management — strong time management and the ability to prioritise a varied workload while meeting deadlines
• Team collaboration — a collaborative and supportive approach to working alongside colleagues across departments or locations
• Adaptability — the ability to respond positively to change and thrive in a dynamic, evolving work environment

How to Apply

To apply for this Data Scientist position at Immigration and Customs Enforcement, click the "Apply Now" button on this page. You will be taken directly to the official application page where you can complete and submit your application.

Before applying, please ensure that your CV or résumé is fully up to date and clearly highlights your experience and accomplishments in software engineering and technology. If a cover letter is included or requested, tailor it specifically to this role and explain how your background, skills, and goals align with what Immigration and Customs Enforcement is looking for in a Data Scientist.

All applications for this role are processed directly by Immigration and Customs Enforcement. Career Nest facilitates the job discovery process and does not pre-screen or forward applications on behalf of employers. There are no fees for job seekers at any stage of the application process.

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