Significance
Significance
Significance este o întreprindere mică deținută de o femeie, care sprijină clienți guvernamentali din 2014 prin expertiză orientată către misiune în domeniile apărării, logisticii și asistenței medicale. Activitatea sa acoperă gestionarea și analiza datelor, automatizarea robotică a proceselor, modernizarea sistemelor de afaceri, tehnologiile emergente, managementul financiar și sprijinul pentru audit, precum și gestionarea proprietăților imobiliare și a activelor. Prin programul G-STEP, compania ajută echipele guvernamentale să utilizeze mai eficient tehnologia și analiza datelor. Significance se concentrează pe reducerea lacunelor de cunoștințe și resurse prin soluții practice, relații strânse cu clienții și o cultură organizațională bazată pe colaborare, transparență, integritate și inovare.

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.

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

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

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