Data Scientist - Data Analyst (Direct Hire)

Full Job Description

STEM position(s) are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens.

Selections made under this bulletin will be processed as new appointments to the civil service. Current civil service employees would, therefore, be given new appointments to the civil service.

Under the provisions of the Direct Hire Authority, Veterans Preference and the "Rule of Many" do not apply.

Resumes exceeding two pages in length will not be considered, please visit the new resume guidance for more information.

Applicants must have 52 weeks of specialized experience at the GS-13 level, or equivalent, which is in or related to the work of the position to be filled.

The specialized experience required is: (1) Providing technical expertise and direction in developing and refining studies involving large datasets comprised of messy data and statistical or machine learning analytical techniques and processes; AND (2) Transforming unprocessed, incomplete, or unstructured data into a form suitable for analysis using R, Python, SAS, or SQL; AND (3) Conducting ad hoc and planned analyses of data using statistical techniques; AND (4) Preparing talking points, issue briefs, and analytic summaries for technical and non-technical audiences.

ALL of the specialized experience is REQUIRED and must be explicitly documented/described in your resume, or you will be disqualified from further consideration.

IN ADDITION TO THE ABOVE REQUIREMENTS, APPLICANTS MUST ALSO MEET THE individual occupational requirement (IOR), which states that applicants must have ONE of the following: (a.) A degree in one of the following: 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. NOTE: Transcripts are required to substantiate claimed education.

OR (b.) A combination of education and experience: have completed courses equivalent to a major field of study (30 semester hours): mathematics, statistics, computer science, data science or field directly related to the position, plus additional education or appropriate experience.

Individual Occupational Requirements must be met, even if you currently hold, or have previously held, a position in this series in the federal government. Major Duties:

• This announcement serves as public notice. Applications submitted be placed into a pool and will remain on file for selection as positions become available.
• Vacancies may be filled for up to 6 months after the closing date of this announcement. Applicants may not receive notifications of referral status until the full 6-month eligibility period has elapsed.
• Applications may be gathered from additional recruitment sources. These will be added to the pool created by this announcement.
• Serves as a Data Analyst (Data Scientist) leading and coordinating the efforts of other agency professionals and contractors in solving complex and far-reaching data management issues and problems.
• Conducts statistical analyses and develops predictive models using statistical techniques, machine learning, and artificial intelligence (AI), using tools such as R, Python or SAS.
• Works with teams to develop data products and definitions. Use appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data.
• Conducts observational analyses using software and/or programming languages such as R, Python, or SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions.
• Develops, integrates, and maintains data and extract, transform, and load (ETL) procedures that are logically sound, maintainable, sustainable, auditable, flexible, repeatable, and scalable on a variety of structured and unstructured data
• Translates complex concepts, findings, and limitations into concise, plain language.
• Serves as a resource and leader to Federal and contractor staff on implementing, managing, tracking, and evaluating large scale and extremely complex data analysis projects and their associated requirements and risks.