Data Scientist

Full Job Description

This vacancy is being filled via the Direct-Hire Authority (DHA) for a Data Scientist position in the U.S Census Bureau 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, 1560-11, FPL GS-13 positions within the Census Bureau in the same geographical location with the same qualifications and specialized experience.

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-11, you must have one year of experience at a level of difficulty and responsibility equivalent to the GS-9 in the Federal service.

Experience for this position includes analyzing assigned 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.

Participates in designing, implementing, and evaluating 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.

Applicants must demonstrate and provide evidence in at least 3 of the above areas to be qualified OR Ph.D.

or equivalent doctoral degree OR 3 full years of progressively higher level graduate education leading to such a Ph.D.

degree 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. Major Duties:

• Participates in planning, designing, developing, and implementing state- Competency of-the-art data science applications, models, technologies, and guiding principles for data use and analysis.
• Conducts research and statistical analysis on available data, as directed, and presents findings in suitable formats. Alters instructions, methodologies, and guidelines, as directed.
• Writes and executes program code to perform data processes that is clear and efficient, interprets and analyzes results, and uses data visualization to communicate insights and outcomes to stakeholders.
• Collaborates with other team members to support the aggregation of software and hardware technologies required to integrate resources and provide a useful, usable, and enabling framework for programs.
• Participates in the development of new user interfaces and supports adapting tools for displaying scientific information; implements common data standards and metadata schema for discoverability and interoperability of data, as directed.