Data Scientist (Direct Hire)

Quick Facts

• Role: Data Scientist (Direct Hire)
• Focus: Data science subject-matter expertise across statistics, modeling/simulation, machine learning/AI, natural language processing, and geospatial analysis

Description

Serve as a subject matter expert in data science and advise on applying mathematics, statistical analysis, modeling/simulation, machine learning, artificial intelligence, natural language processing, data/computer science, and geospatial analysis. Develop, integrate, and maintain scalable, auditable ETL procedures and data processing pipelines across structured and unstructured data. Use analytics and statistical software to clean and prepare data and to improve mission data reliability, efficiency, and quality.

Responsibilities

• Develop algorithms and tools for data manipulation and processing
• Build and maintain ETL procedures (logically sound, auditable, flexible, scalable) and map/validate data
• Analyze complex data elements, data flows, dependencies, and relationships to support physical and logical data models
• Create dataset processing workflows to improve data reliability, efficiency, and quality
• Consult and instruct functional users on information systems, databases, and file accessing/search strategies
• Apply best practices for database security, backup and program recovery, processing efficiencies, space utilization, and testing techniques
• Assist programmers/analysts with development, testing, and implementation of new or modified systems/programs (as needed)
• Collaborate with teams to develop data products and definitions

Requirements

• U.S. citizenship
• Meet the 1560-series Individual Occupational Requirement via an eligible degree in mathematics, statistics, computer science, data science, or a directly related field, or an equivalent education/experience combination with required coursework
• At least 52 weeks of specialized experience at GS-13 level (or equivalent), including:
  • Leading the development and improvement of enterprise data pipelines using SQL and Python
  • Guidance on data architecture and data security for complex data issues
  • Evaluation, integration, and automation of new data sources
• Submit a resume (max 2 pages) with complete employment dates (month/day/year) and required transcripts (legible, uploaded as part of the application)
• Background and/or security investigation may be required

Benefits

A comprehensive federal benefits package is available; eligibility depends on the type of appointment (full-time vs. other) and requires confirmation with the hiring agency.