Data Science Lead, Dataverse | National Security Impact

LMI Consulting, LLC

Tysons (VA)

On-site

USD 111,000 - 180,000

Full time

5 days ago
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Job summary

LMI Consulting, LLC seeks a Dataverse / Data Science Lead to join the CBP PMO. The role combines hands-on analytics with leadership, mentoring, and governance to drive data-driven decision making. Requires U.S. citizenship and ability to obtain CBP BI; 20% travel, including remote/rugged areas.

The candidate will lead complex analyses, design Dataverse data models, and mentor analysts while communicating findings to technical and executive stakeholders.

Qualifications

  • 9+ years in applied data science, analytics or related roles with federal/mission-driven context.
  • Hands-on Python and SQL to develop, test, and troubleshoot analytics workflows.
  • Experience designing data models, data pipelines, and reporting-ready datasets.
  • Experience with advanced analytics methods including ML, time-series, NLP, or causal inference.
  • Ability to communicate methods, results, uncertainty, and limitations clearly to stakeholders.

Responsibilities

  • Lead analytical strategy for complex operational and programmatic questions.
  • Serve as SME for Dataverse data structures and integration with reporting and ML solutions.
  • Assess data readiness, quality, lineage, and access considerations.
  • Design and maintain reporting-ready Dataverse data models and pipelines.
  • Develop and evaluate statistical models and ML solutions; perform hands-on analysis using Python and SQL.

Skills

Dataverse
Data Science
Python
SQL
Leadership
Stakeholder comms

Education

Master's degree or higher in quantitative field

Tools

Dataverse
Databricks
Power BI
Cloud platforms

Job description

LMI Consulting, LLC seeks a Dataverse / Data Science Lead to join the CBP PMO. The role combines hands-on analytics with leadership, mentoring, and governance to drive data-driven decision making. Requires U.S. citizenship and ability to obtain CBP BI; 20% travel, including remote/rugged areas.

The candidate will lead complex analyses, design Dataverse data models, and mentor analysts while communicating findings to technical and executive stakeholders.

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