This vacancy is for a Computer Scientist position in the Department of Commerce located at the U.S. Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green Line - Suitland Station.

Duties

Designs, develops, and deploys code that leverages Machine Learning and Data Science technologies and principles. Collaborates with key project stakeholders from across the Bureau, Directorate, and Division to leverage Machine Learning and Data Science to improve Census operations including data collection, processing, and dissemination. Researches, documents, prototypes, and develop standards for Machine Learning and Data Science techniques, tools, and architectural solutions for Economic data processing. Oversees the evaluation, and surveillance of policies, practices, and efforts relative to analysis, design, development, testing, and delivery.

Requirements

• Applicants must meet all qualification requirements by the closing date of this announcement.
• U.S. Citizen
• Suitable for Federal employment.
• Registered for Selective Service if applicable. (www.sss.gov)
• This is a BARGAINING unit position.
• This position may be covered by one or more of the following bargaining units: American Federation of Government Employees (AFGE) Local 2782(HQ). If you have specific questions, please contact the HR Specialist.

Qualifications

Minimum Education Requirement: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. AND Specialized experience: For the GS-13, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-12 in the Federal service. Experience for this position includes: Designing and testing Machine Learning code; researching/implementation of emerging Machine Learning technologies and standards; collaborating with stakeholders to ensure software engineering standards are assimilated into business practices; and evaluating policies and practices related to analysis, design, development, and testing. Education: Education cannot be used to substitute 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.

Contacts

• Address Associate Director for Economic Programs 4600 Silver Hill Road Washington, DC 20233 US
• Name: Jaleesa Desormeaux
• Email: [email protected]