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Significance
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At Significance, we believe the best results come from investing in great people. As a woman-owned consulting firm supporting federal civilian and Department of Defense customers, we bring together talented professionals who are passionate about solving complex challenges and making a meaningful impact.
We're proud of the culture we've built - one rooted in trust, collaboration, respect, and genuine relationships. Our people are empowered to share ideas, grow their careers, and deliver exceptional results while supporting missions that matter. It's a culture we're proud of, and one that has earned us recognition as a Washington Business Journal Best Place to Work for seven consecutive years.
The Data Scientist will support enterprise-level data management and analytical functions, with a strong focus on database development, data modeling, data governance, and structured data workflows. This position requires the ability to build and maintain robust data systems, ensure data integrity, and develop analytical models that support organizational decision-making. The role is suited for a mid‑senior level professional experienced in designing and implementing scalable data solutions.
Develop, maintain, and optimize databases and structured data systems to support enterprise information needs.
Create and manage data models, schemas, dictionaries, and standards to ensure consistency across systems.
Conduct data quality checks, validation routines, and governance processes to ensure accuracy and compliance.
Design and implement processes for data ingestion, transformation, and lifecycle management.
Perform advanced analytical modeling, including scenario analysis, forecasting, and risk assessment.
Develop tools, scripts, and automated workflows to streamline data processing and improve system performance.
Collaborate with cross‑functional teams to understand data requirements and translate them into technical solutions.
Evaluate data-related capabilities, recommend improvements, and support integration activities across technical environments.
Provide subject matter expertise on enterprise data management best practices and emerging technologies.
Strong proficiency in database architecture, SQL, and structured data environments.
Experience developing and maintaining large‑scale data models and metadata frameworks.
Expertise in data governance, data 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 data workflows.
Ability to analyze complex datasets and develop analytical models to support organizational strategy.
Excellent communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
Four years of experience in Navy data systems.
Background in infrastructure, engineering, or large enterprise operational environments.
Familiarity with data standardization initiatives and enterprise data architectures.
Knowledge of cloud-based data platforms, distributed data systems, or API-driven architectures.
Experience mentoring junior data staff or contributing to enterprise data strategy.
Experience in Navy Systems such as eProjects, ieFACMAN, iNFADS,etc.
Originally posted on Himalayas
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