This vacancy is being filled via the Direct-Hire Authority (DHA) for a Computer Scientist position at the U.S. Census Bureau Headquarters in Suitland, Maryland. The Census Bureau is accessible from the Metro Rail Green Line - Suitland Station. This Job Opportunity Announcement may be used to fill other Computer Scientist, 1550-13, FPL GS-13 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

Duties

Architect, design, develop, test, and deploy Machine Learning based code. Research, document, prototype, and develop standards for Machine Learning techniques, tools, and architectural solutions for Economic data processing. Communicate with stakeholders, data analysts, and development teams to understand requirements and formulate plans and solutions for applying Machine Learning to improve and enhance new operationalized applications and business processes.

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).
• A one-year probationary period may be required.
• 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) or AFGE Local 1438(DN). 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; operationalizing Machine learning code into production applications; 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: Michelle Gamble
• Phone: 301-763-4481
• Email: [email protected]