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Significance
Significance
51 – 200 Employees
DefenseHealthcareLogistics
Significance is a woman-owned small business that has supported government clients since 2014 with mission-focused expertise in defense, logistics, and healthcare. Its work spans data management and analytics, robotic process automation, business systems modernization, emerging technologies, financial management and audit support, and real property and asset management. Through its G-STEP program, the company helps government teams use technology and analytics more effectively. Significance focuses on closing knowledge and resource gaps through practical solutions, close client relationships, and a working culture centered on collaboration, transparency, integrity, and innovation.
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Data Scientist, U.S. Navy Enterprise Data

Support U.S. Navy enterprise data management and analytics for a woman-owned consulting firm. Build governed databases, models, automated workflows, and decision-support analyses.

USUnited States
$115,000 – $125,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredData Scientist
CloudETLPythonSQL

Description

  • Build, maintain, and improve databases and structured data systems for enterprise information needs.
  • Develop and manage data models, schemas, dictionaries, and standards to keep systems consistent.
  • Run data quality checks, validation, and governance processes to support accuracy and compliance.
  • Design data ingestion, transformation, and lifecycle management processes.
  • Use advanced analytical models for scenario analysis, forecasting, and risk assessment.
  • Create tools, scripts, and automated workflows that streamline data processing and improve system performance.
  • Work with cross-functional teams to clarify data needs and turn them into technical solutions.
  • Assess data capabilities, recommend improvements, and support integration across technical environments.
  • Advise on enterprise data management practices and emerging technologies.

Requirements

  • Strong command of database architecture, SQL, and structured data environments.
  • Experience building and maintaining large-scale data models and metadata frameworks.
  • Expertise in data governance, quality assurance, and standardized data practices.
  • Proficiency in Python or R for data engineering, analytics, and scientific computing.
  • Experience with ETL pipelines, data validation tools, and automated workflows.
  • Ability to analyze complex datasets and build analytical models that inform organizational strategy.
  • Strong communication skills and ability to explain technical concepts to nontechnical stakeholders.
  • Four years of experience with Navy data systems.
  • Experience in infrastructure, engineering, or large enterprise operations.
  • Familiarity with data standardization initiatives and enterprise data architectures.
  • Knowledge of cloud data platforms, distributed data systems, or API-based architectures.
  • Experience mentoring junior data staff or contributing to enterprise data strategy.
  • Experience with Navy systems such as eProjects, ieFACMAN, or iNFADS.
  • Active Secret clearance.

Benefits

  • Comprehensive benefits package.
  • Employer participates in E-Verify.

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