This position serves as a Data Scientist, located in the Department of Justice (DOJ), Office of the Chief Information Officer (OCIO), Justice Management Division (JMD), Service Delivery Staff (SDS). The primary purpose of this position is to serve as a Data Scientist advising senior DOJ management in the support of the governance, scientific methodologies, processes, and systems of data within the department.

Duties

As the federal agency whose mission is to ensure the fair and impartial administration of justice for all Americans, the Department of Justice is committed to fostering a diverse and inclusive work environment. To build and retain a workforce that reflects the diverse experiences and perspectives of the American people, we welcome applicants from the many communities, identities, races, ethnicities, backgrounds, abilities, religions, and cultures of the United States who share our commitment to public service. The duties and responsibilities as a Data Scientist GS-1560-15 generally include, but are not limited to the following: - Establish and oversee the process of extracting, storing and organizing data that will require analytics from multiple sources to provide data-driven insights to senior leadership. - Design and oversee the implementation of a Department data analytics management framework that ensures a modern and sustainable approach to integrating data science, data interoperability, data security and appropriate AI solution integration considerations in the enterprise architecture. - Advise leadership on advanced quantitative methods, computer science and mathematical concepts that can be used to solve difficult and unknown questions across large sets of disorganized data. - Provide critical data insights and technical governance support in managing AI use cases for generative AI and machine learning implementations. - Oversee the development and improvement of information management systems, programs, storage and catalog solutions to support the data gathering and analytical needs of the department while continually improving the scientific and evaluation methodologies for these systems and programs.

Requirements

• You must be a United States Citizen or National.
• You must successfully pass a security/background investigation and a drug screening.
• Selective Service registration is required, see the "Requirements" section for full details.
• Additional selections may be made from this announcement, at any time, if openings occur in other offices serviced by Justice Management Division, HR Operations.
• You must meet all eligibility requirements by the closing date of this announcement and continue to meet these requirements throughout the hiring process. Offers can be rescinded if requirements are not met.
• May be required to serve a new one-year probationary period.
• Must be able to obtain and maintain a Top Secret security clearance.

Qualifications

To qualify for the position of Data Scientist at (GS-1560-15), you must meet the basic qualification requirements listed below AND possess the required specialized experience specific to this series and grade. There may also be a positive education requirement for some occupations, please see the Education section for details. If there are licensing or certification requirements, please see the Required Documents section for details on how to verify you license or certificate. 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 paragraph A above, plus additional education or appropriate experience. AND Specialized Experience: For the GS-15 you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-14 in the Federal service. Specialized experience is defined as: 1. Display extensive knowledge of and demonstrated experience with the principles, procedures, and tools of data science and analytics, such as modeling techniques, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. AND 2. Overseeing secure enterprise data analytics, including the operational use of Artificial Intelligence (AI) and Machine Learning (ML) for maximum business value. You MUST meet all qualification requirements by the closing date of this announcement, 08/01/2024. YOUR RESUME MUST support your responses to the online questionnaire and the qualification requirements. Failure to do so may result in an ineligible rating. See the "Required Documents" section for important notes about what information you must include in your resume!

Education

IMPORTANT: A transcript must be submitted with your application if you are basing all or part of your qualifications on education.

Education must be reviewed and certified by an accrediting institution recognized by the U.S. Department of Education, in order for it to be creditable towards your qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For more information about this requirement, please visit the U.S. Department of Education website for Foreign Education Evaluation.

All documentation must be in English or include an English translation.

Contacts

• Address Justice Management Division - Chief Information Officer 2 Constitution Square 145 N Street NE Room 9W.300 Washington, DC 20530 US
• Name: Christopher Stout
• Email: [email protected]