Data Scientist, Mid level

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  "active_status": "active"
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  "location": {
    "raw": "Washington, DC",
    "city": "Washington",
    "region": "DC",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
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  "inferred_at": "2026-06-06T07:57:53.165Z",
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  "workplace_type": "on_site",
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{
  "lists": [
    {
      "text": "Responsibilities",
      "content": "\n<li>Builds, maintains, and improves dashboards, applications, and automations.&nbsp;</li>\n<li>Connects to APIs, system-to-system connections, and manual data transfers for ETL.&nbsp;</li>\n<li>Builds predictive risk models using statistical analysis.&nbsp;</li>\n<li>Applies AI/ML to extract insights from unstructured documentation.&nbsp;</li>\n<li>Develops and carries out full-service data calls, including data normalization and visualization.&nbsp;</li>\n<li>Creates business intelligence analysis and visualizations for management.&nbsp;</li>\n<li>Improves methodologies and tools for risk assessment.&nbsp;</li>\n<li>Researches and recommends business data storage/integration solutions.&nbsp;</li>\n<li>Develops user guides and documentation for BI products.&nbsp;</li>\n<li>Incorporates data science tools (SQL, R, Python, etc.) into services.&nbsp;</li>\n"
    },
    {
      "text": "Qualifications",
      "content": "\n<li>Strong proficiency with Power Platform, SharePoint, and InfoPath required.&nbsp;</li>\n<li>Excellent understanding of machine learning techniques and algorithms.&nbsp;</li>\n<li>Experience with common data science toolkits (R, Weka, NumPy, MATLAB, etc.) and BI tools (Power BI, Anaconda, SPSS).&nbsp;</li>\n<li>Experience connecting to and manipulating data from federal systems preferred.&nbsp;</li>\n<li>In absence of years of experience, certifications or past work may be used.&nbsp;</li>\n<li>Ability to work on site 5 days per week</li>\n<li>An active Top-Secret level clearance is required</li>\n<li>#CJ</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1760545391356,
  "updatedAt": null,
  "categories": {
    "team": "Cleared Opportunities",
    "location": "Washington, DC",
    "commitment": "Full-Time",
    "department": "Federal Division",
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      "Washington, DC"
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