Data Scientist

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  "last_changed_at": "2026-06-04T11:37:20.133Z",
  "active_status": "active"
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{
  "language": "en",
  "location": {
    "raw": "Tampa, FL",
    "city": "Tampa",
    "region": "FL",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
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  "inferred_at": "2026-06-06T07:57:05.585Z",
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    "included": true,
    "language": "en",
    "location": {
      "raw": "Tampa, FL",
      "city": "Tampa",
      "region": "FL",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
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  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
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{}

{
  "lists": [
    {
      "text": "Key Responsibilities",
      "content": "<ul style=\"list-style-type: disc;\">\n<li>Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.</li>\n<li>Identify the intersection between strategic business value, <strong>simulation-based forecasting</strong>, and achievable technical work within the logistics domain.</li>\n<li>Articulate and translate complex business questions into technical solutions using available DoD data sources and <strong>mission-level modeling outputs</strong>.</li>\n<li>Explore and analyze diverse datasets—including live telemetry and <strong>simulated environments</strong>—to identify meaningful entities, relationships, and trends.</li>\n<li>Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models and <strong>stochastic simulations</strong>.</li>\n<li>Develop applications, <strong>simulation dashboards</strong>, and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders.</li>\n<li>Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and <strong>modeling proficiency</strong> across the enterprise.</li>\n</ul>"
    },
    {
      "text": "Required Experience/Clearance",
      "content": "<ul style=\"list-style-type: disc;\">\n<li style=\"list-style-type: none;\">\n\n</li><li>An active Secret security clearance is required (TS/SCI eligibility preferred).</li>\n<li>8+ years of professional experience in data science, analytics, or <strong>Operations Research</strong>.</li>\n<li>Master’s degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).</li>\n<li>Proficiency in functional programming languages such as Python, R, or Scala.</li>\n<li><strong>Strong experience with Modeling &amp; Simulation (M&amp;S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).</strong></li>\n<li>Strong experience with database languages, specifically SQL.</li>\n<li>Demonstrated ability to discern and apply appropriate statistical and <strong>probabilistic modeling</strong> approaches for different mission contexts.</li>\n<li>Proven experience communicating key findings through technical visualizations, <strong>simulated course-of-action briefings</strong>, and technical reports.</li>\n<li>Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.</li>\n<li>Ability to travel up to 10% as required by the mission.</li>\n\n<h3>&nbsp;</h3>\n\n</ul>"
    },
    {
      "text": "Desired Experience",
      "content": "<ul style=\"list-style-type: disc;\">\n<li>Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).</li>\n<li><strong>Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE).</strong></li>\n<li>Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud).</li>\n<li>Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks).</li>\n<li>Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or <strong>R/Shiny</strong>).</li>\n<li>Familiarity with DoD logistics data, USCENTCOM mission sets, and <strong>Joint Staff modeling requirements</strong>.</li>\n</ul>"
    }
  ],
  "country": "US",
  "createdAt": 1778253843874,
  "updatedAt": null,
  "categories": {
    "team": "National Security",
    "location": "Tampa, FL",
    "commitment": "Full-Time",
    "department": "National Security",
    "allLocations": [
      "Tampa, FL"
    ]
  },
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  "workplaceType": "onsite"
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