Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, sustain, and enhance databases and structured data systems to fulfill enterprise information requirements.

• Develop and oversee data models, schemas, dictionaries, and standards.

• Conduct quality checks, validation processes, and governance activities for data.

• Create and execute data ingestion, transformation, and lifecycle management processes.

• Engage in advanced analytical modeling, which includes scenario analysis, forecasting, and risk evaluation.

• Build tools, scripts, and automated workflows to optimize data processing and enhance system performance.

• Work collaboratively with cross-functional teams to convert data requirements into technical solutions.

• Assess data-related capabilities, propose enhancements, and assist with integration efforts.

• Offer subject matter expertise on best practices in enterprise data management and emerging technologies.

⛳️ Requirements

• Active Secret clearance is mandatory.

• Strong expertise in database architecture, SQL, and structured data environments.

• Proven experience in developing and maintaining large-scale data models and metadata frameworks.

• Proficient in data governance, data quality assurance, and standardized data practices.

• Skilled in Python or R for data engineering, analytics, and scientific computing.

• Experience with ETL pipelines, data validation tools, and automated data workflows.

• Capability to analyze complex datasets and create analytical models that support organizational strategy.

• Exceptional communication skills, capable of explaining technical concepts to non-technical audiences.

• A minimum of four years of experience with Navy data systems is preferred.

• Background in infrastructure, engineering, or large enterprise operational settings is advantageous.

• Familiarity with data standardization initiatives and enterprise data architectures is favorable.

• Knowledge of cloud-based data platforms, distributed data systems, or API-driven architectures is a plus.

• Experience in mentoring junior data personnel or contributing to enterprise data strategies is preferred.

• Experience with Navy Systems such as eProjects, ieFACMAN, and iNFADS is desirable.

🏝️ Benefits

• Comprehensive and generous benefits package.

• E-Verify Employer.