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Data Scientist/Data Architect

LinkedIn KDA CONSULTING INC Bethesda, MD
Mid-Senior level Posted March 14, 2026 Job link
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Requirements
  • Current TS/SCI with Poly is required
  • 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role
  • Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data
  • Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis
  • Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes
  • Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights
  • Experience with Programming languages like Python, Java, SQL and Cloud technologies
  • Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.
  • Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g.
  • Python, SQL), statistical programs (e.g.
Preferred Skills
  • Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g.
  • Python, SQL), statistical programs (e.g.
  • R and MS Excel), and data visualization tools (e.g.
  • Tableau, Power BI, QlikView)
  • Data scientist certification from AWS, Google, Microsoft, Oracle, or etc
  • Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart
  • Deep understanding of machine learning and artificial intelligence for logical applications and techniques
  • Have experience working in Agile and DevOps environments.
Education
  • (Required) – Current TS/SCI with Poly is required
  • (Not required) – Bachelor's degree in Computer Science, Computer Engineering, or relevant STEM field
  • (Not required) – Data scientist certification from AWS, Google, Microsoft, Oracle, or etc