Significance

Data Scientist - Navy

United States full-time Mid $115,000 - $125,000
full-time Mid level Technology & IT Salary listed Curated
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About the role

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.

Required Skills:

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.

Desired Skills:

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.

At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package.
We are an E-Verify Employer

Originally posted on Himalayas

Interview prep

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Mid
Technology & IT API integration Data Analysis MySQL Python Remote Collaboration Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Scientist - Navy role.
  2. How would you approach your first 30 days at Significance?
  3. Which of API integration, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Scientist - Navy role because I can bring practical experience in API integration, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes Significance needs from this hire.

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