Data Scientist (Direct Hire)

Social Security Administration; Birmingham (AL); On-site; USD 90,000 - 130,000; Full time

Job summary

Social Security Administration is seeking a Data Scientist to serve as a subject matter expert in data sciences, applying mathematics, statistics, modeling, ML/AI, NLP, data and computer sciences, and geospatial analysis in federal data systems.

Applicants must meet the Individual Occupational Requirement (IOR) for the 1560 data science series and demonstrate at least 52 weeks of specialized experience at/above GS-13, including leading enterprise data pipelines with SQL and Python, data

Qualifications

• Must have education or equivalent experience in mathematics, statistics, computer science or data science.
• Transcripts required to substantiate claimed education.
• Specialized Experience demonstrated for at least 52 weeks at GS-13 level or equivalent.

Responsibilities

• Lead the development and improvement of enterprise data pipelines using SQL and Python.
• Provide guidance on data architecture and data security; address complex data issues.
• Manage evaluation, integration, and automation of new data sources.

Skills

SQL

Python

Education

Mathematics

Statistics

Computer Science

Data Science

Job description

This position is being offered under OPM Direct Hire Authority.

See more about Direct Hire under Conditions below.

Serves as subject matter expert in the specialized area of data sciences and advisor on matters related to the application of mathematics, statistical analysis, modeling/simulation, machine learning, artificial intelligence, natural language processing, data and computer sciences and geospatial analysis.

See QUALIFICATIONS and EDUCATION for more information about this position. To meet Minimum Qualifications for this Data Scientist position you must demonstrate:

(1) the Individual Occupational Requirement (IOR) for the federal 1560 series AND (2) at least 52 weeks of Specialized Experience

(1) INDIVIDUAL OCCUPATIONAL REQUIREMENT (IOR) (All Applicants)

A. Successful completion of a course of study in an accredited college or university resulting in 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.

OR

B. A combination of education and experience that includes successful completion of courses equivalent to a major field of study (30 semester hours) in mathematics, statistics, computer science, data science or a field directly related to the position, plus additional education or appropriate experience.

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

Transcripts are required to substantiate claimed education

SEE EDUCATION BELOW -- Applicants who don't demonstrate these requirements will not be considered.

(2) SPECIALIZED EXPERIENCE must have been gained in a federal position at or above GS-13 OR (if your position is on another federal pay scale OR outside of federal service) by performing duties at a level of responsibility and difficulty equivalent to GS-13 or above.

Specialized Experience is work that primarily consists of:

• (1) Leading the development and improvement of enterprise data pipelines using SQL and Python;
• (2) Providing guidance on data architecture, data security, and complex data issues;
• (3) Managing the evaluation, integration, and automation of new data sources.

If you have this experience, your resume must describe, in your own words, the specific duties you perform that demonstrate it.

Reviewers cannot assume you perform duties you don't describe.

Since Specialized Experience also has a time component, it must be evident that the duties you describe are at the required level for at least 52 weeks.

MINIMUM QUALIFICATIONS (IOR and Specialized Experience) must be met by the closing date of this announcement.

Information on this job series can be found at https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/