Significance
Significance
Significance एक महिला-स्वामित्व वाला लघु व्यवसाय है, जो 2014 से रक्षा, लॉजिस्टिक्स और स्वास्थ्य सेवा के क्षेत्रों में मिशन-केंद्रित विशेषज्ञता के साथ सरकारी ग्राहकों का सहयोग कर रहा है। इसका कार्य डेटा प्रबंधन और विश्लेषण, रोबोटिक प्रक्रिया स्वचालन, व्यावसायिक प्रणालियों के आधुनिकीकरण, उभरती प्रौद्योगिकियों, वित्तीय प्रबंधन और ऑडिट सहायता, तथा अचल संपत्ति और परिसंपत्ति प्रबंधन तक फैला हुआ है। अपने G-STEP कार्यक्रम के माध्यम से, कंपनी सरकारी टीमों को प्रौद्योगिकी और विश्लेषण का अधिक प्रभावी ढंग से उपयोग करने में सहायता करती है। Significance व्यावहारिक समाधानों, ग्राहकों के साथ घनिष्ठ संबंधों और सहयोग, पारदर्शिता, सत्यनिष्ठा तथा नवाचार पर केंद्रित कार्य संस्कृति के माध्यम से ज्ञान और संसाधनों की कमियों को दूर करने पर ध्यान देती है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

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

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