Data Scientist - Navy

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.

Significance, Inc. is seeking a Data Scientist to join our team supporting the U.S. Navy. This is a remote position requiring an active Secret clearance.  Join a collaborative team dedicated to supporting the Navy’s mission.

 

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. 

Duties and Responsibilities:

• 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.