DATA SCIENTIST

Full Job Description

This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer.

Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer.

Notice of Result letters will not be sent to applicants who respond to this flyer.

Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector.

Specialized experience must demonstrate the following: 1) Developing systems and processes for routine data collection and analysis of program activities; 2) Developing clear and well-structured analytical plans to help shape the organization's data infrastructure, inclusive of data warehousing, reporting, and analytics platforms; 3) Performing data mining as required; 4) Designing dashboards and other information portals to display and disseminate data and analytic conclusions; 5) Monitoring data collection, compiles data, creates reports, designs custom extracts, and performs data analysis; and 6) Identifying reliable data sources and validating data, as appropriate.

Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series Data Science Series 1560 (opm.gov) Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.

Major Duties:

• You will develop, analyze, and recommend new methodologies to fuse data sources derived from requirements and systems.
• You will use programming language and tools to identify ways to improve data reliability, efficiency, and quality for analysis missions, organizational goals, and future planning.
• You will identify, develop, and integrate pertinent information, including internal and external sources, through various data collection procedures and technologies, including emerging data science and big data methodologies.
• You will analyze a variety of data sources to provide data-driven insights to the organizations to streamline processes.
• You will develop, construct, test, maintain, and synchronize data architecture for the organization, individually or as part of a team.
• You will support the development of proposals and projects that align with strategic plans and policy goals for data science research and analytic projects.