Data Scientist

Significance

. Develop, maintain, and optimize databases and structured data systems to support enterprise information needs .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSenior💰 $115,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong proficiency in database architecture, SQL, and structured data environments, with expertise in data governance and quality assurance. Capable of developing large-scale data models and analytical frameworks to support enterprise information needs and organizational strategy.

Highest-signal resume keywords

Database ArchitectureSQL ProficiencyData GovernancePython or R ProficiencyETL Pipeline Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Database ArchitectureSQLData ModelingData Quality AssuranceAnalytical ModelingETL PipelinesData ValidationData IngestionData TransformationAutomated Workflows

Soft Skills

Excellent Communication Skills

Tools & Technologies

Cloud-Based Data PlatformsDistributed Data SystemsAPI-Driven Architectures

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

Navy Data SystemsEnterprise Data ManagementData Standardization InitiativesInfrastructure EngineeringLarge Enterprise Operational Environments

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.
Active Secret clearance

Benefits

Comp & perks

Comprehensive and generous benefits package
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