Data Scientist

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $115k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Significance

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🎖️ Defense

📦 Logistics

🏥 Healthcare

Defense • Logistics • Healthcare

Significance is a woman-owned small business founded in 2014, specializing in providing impactful mission-focused solutions for government clients. The company offers expertise in areas such as Data Management, Analytics, and Robotic Process Automation (RPA); Business Systems Modernization; Emerging Technologies; Financial Management & Audit Support; and Real Property & Asset Management. Significance prides itself on its relationship-focused, expert, solutions-driven approach, emphasizing honesty, transparency, and integrity. The company is also recognized for its G-STEP program, which aims to empower government staff through technology and analytics. The firm is committed to filling critical knowledge and resource gaps for their clients while promoting collaboration and innovation.

📋 Description

• 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

• 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

• Comprehensive and generous benefits package • E-Verify Employer