Data Scientist (Direct Hire)

Social Security Administration•Birmingham, AL

1d•Onsite

About The Position

Serves as a subject matter expert in data sciences and advises on applying mathematics, statistical analysis, modeling and simulation, machine learning, artificial intelligence, natural language processing, data and computer sciences, and geospatial analysis. The position supports the Risk and Quality Program Integrity, Risk and Fraud Prevention program. It is a full-time federal position offered under OPM Direct Hire Authority. The role is not authorized to be filled virtually or through outstationing; telework may be approved after applicable conditions are met, provided the employee resides within a two-hour commute of the assigned official duty station. Alternate work schedules may be authorized. Relocation expenses will not be paid. The position develops and maintains data processing tools, data pipelines, and ETL procedures for structured and unstructured data, and analyzes data systems and relationships to support data modeling and mission planning. It also consults with users on information systems, databases, access and search techniques, security, recovery, testing, and efficient use of resources, and assists with developing, testing, and implementing systems or programs as needed. Applicants must meet the Individual Occupational Requirement for the federal 1560 series and have at least 52 weeks of specialized experience at GS-13 level or equivalent. The required experience includes leading enterprise data pipeline development and improvement using SQL and Python; advising on data architecture, security, and complex data issues; and managing the evaluation, integration, and automation of new data sources. A qualifying degree or equivalent education-and-experience combination in mathematics, statistics, computer science, data science, or a directly related field is required. Transcripts and a resume of no more than two pages are required.

Requirements

U.S. citizenship is required.
Must meet the Individual Occupational Requirement for the federal 1560 series: a qualifying degree in mathematics, statistics, computer science, data science, or a directly related field; or 30 semester hours of equivalent coursework in one of these fields plus additional education or appropriate experience.
At least 52 weeks of specialized experience at GS-13 level or equivalent outside the federal government.
Specialized experience must include leading development and improvement of enterprise data pipelines using SQL and Python; providing guidance on data architecture, data security, and complex data issues; and managing evaluation, integration, and automation of new data sources.
Submit a resume of no more than two pages that includes name and contact information, full month/day/year dates for each position, and federal grade if applicable.
Submit legible transcripts showing the school, program, degree and/or qualifying coursework; foreign education requires an evaluation documenting U.S. equivalency.
Selective Service registration is required if applicable.
Fingerprinting and a background and/or security investigation may be required; job offers are contingent on investigation results.
A male born after December 31, 1959, must certify Selective Service registration or exemption.
The position may require completion of SF-85P for a moderate-risk public trust investigation.
Successful performance and adherence to position conditions will be assessed during a one-year probationary period that may apply to new appointees.

Responsibilities

Develop algorithms and tools to support data manipulation and processing.
Develop, integrate, and maintain logically sound ETL procedures that are maintainable, sustainable, auditable, flexible, repeatable, and scalable across structured and unstructured data.
Map data and validate and implement ETL procedures.
Analyze complex data elements and systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
Develop data-set processes and use programming languages and tools to improve data reliability, efficiency, and quality for missions, goals, and future planning.
Consult with and instruct functional-area users on information systems, databases, file-access techniques, search strategies, processing and file-assessment techniques, space utilization, database security, backup and recovery, and testing techniques.
Assist programmers and analysts with development, testing, and implementation of new or modified systems and programs as needed.
Work with teams to develop data products and definitions.
Use appropriate analytic and statistical software to prepare data programmatically for analysis and clean imperfect data.
Lead development and improvement of enterprise data pipelines using SQL and Python.
Provide guidance on data architecture, data security, and complex data issues.
Manage evaluation, integration, and automation of new data sources.