This vacancy is for a Data 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. This Job Opportunity Announcement may be used to fill other Data Scientist, GS-1560-13, FPL 13 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

Duties

Performs advanced queries using database and analytical tools (e.g. SQL Server) and programming languages (e.g. Python, R, and Java) to analyze data and develop data-analytical visualizations. Provides data science expertise to a wide range of highly complex initiatives and projects focused on the development of cutting-edge tools and resources to easily access, store, analyze, and exchange complex, high-quality data. Defines data requirements and integration of enabling technologies to collect, extract, engineer, and transform data from traditional and non-traditional sources. Analyzes a variety of data sources to provide data-driven insights to the organization to streamline processes and evaluate the effectiveness of the program operations in meeting established goals and objectives. Designs, implements, and evaluates large, complex analytical applications, projects, and studies, applying a combination of computational and machine learning methods to new or Big Data using next generation analytical tools.

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). If you have specific questions, please contact the HR Specialist.
• This is an open continuous announcement. The initial cutoff date for referral is 6/17/24. After this date, the cut off dates are as follows: 7/16/24 and 8/16/24.

Qualifications

This vacancy is advertised under 2 different announcements. Please read the 'Who May Apply' section carefully to determine your eligibility. If you are not eligible under this announcement, please see 24-BOC-12397640-ST-SH. Applicants eligible under 24-BOC-12397640-ST-SH may apply to both announcements. Minimum Education Requirement: 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 paragraph A above, plus additional education or appropriate experience. 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: participating in the planning, design, development, and implementation of data science techniques and methods; using data analytics to develop data structures, validate data sources, and evaluate data management tools; developing/querying analytical tools and data systems such as Relational Database Management Systems (RDBMS) and SQL systems; and applying Big Data processing languages, computational algorithms including High Performance Computing (HPC), and programming languages (such as Python, R, C#, Java) to develop analytical pipelines, visualizations, and solutions. Education cannot be substituted for experience at this grade level. 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 Chief Administrative Officer 4600 Silver Hill Road Washington, DC 20233 US
• Name: Karen Gross
• Phone: 301-763-3082
• Email: [email protected]