Technical Editor (TS/SCI Cleared)

@ Latitude Inc
Latitude Inclatitudeinc.com

Technical Editor (TS/SCI Cleared)

Posted 6 months ago

This job is still taking applications, but it's been up a while.

About the job

The company focuses on data science and analytics projects, requiring a Technical Editor to ensure clear, accurate documentation for technical and non-technical audiences.

Requirements

  • Technical editing skills
  • Experience with data documentation
  • Knowledge of data analytics
  • Collaboration skills
  • Attention to detail

Qualifications

  • TS/SCI clearance
  • Experience with technical writing
  • Understanding of data science
  • Ability to simplify complex concepts

Full job description

Job Summary:

We are seeking a detail-oriented and analytically minded Technical Editor to support the development, review, and refinement of technical documentation related to data analytics and data science initiatives. The ideal candidate will have experience working with data-driven teams and translating complex analytical concepts into clear, accurate, and user-friendly documentation for technical and non-technical audiences. TS/SCI required.

Responsibilities:

  • Edit, proofread, and format technical documentation related to data analytics, data science, and data engineering projects
  • Ensure accuracy, consistency, and clarity in documentation including technical reports, methodologies, data models, dashboards, and user guides
  • Collaborate with data scientists, data analysts, engineers, and product stakeholders to understand technical content and workflows
  • Review documentation for compliance with style guides, branding, and documentation standards
  • Translate complex analytical concepts, algorithms, and data processes into clear, concise language
  • Validate technical terminology, data definitions, assumptions, and methodologies for accuracy and completeness
  • Assist in developing and maintaining documentation standards, templates, and editorial guidelines
  • Edit content related to statistical analysis, machine learning models, ETL pipelines, and data visualization outputs
  • Manage version control and document updates across multiple concurrent projects
  • Support quality assurance reviews prior to publication or delivery
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