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Mid Level Data Destruction Jobs (NOW HIRING)

Phiston Technologies, Inc.

Be Seen First

Mobile Shredding Field Lead

Chantilly, VA · On-site

$75K - $100K/yr

Phiston carries a wide array of products from portable desktop destruction destroyers to enterprise-level data center destruction machines.

Urgent

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

As a Mid-Level Data and Technology Advisor, you'll: * Provide technical and strategic expertise within the enterprise data ecosystem. * Collaborate with business and analytics teams to understand and ...

Phiston Technologies, Inc.

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Software Engineer

Miramar, FL · On-site

Phiston carries a wide array of products from portable desktop destruction destroyers to enterprise-level data center destruction machines.

BAE Systems

Data Eng II

Reston, VA · On-site

$79K - $134K/yr

As a Mid-Level Data Engineer, you will be responsible for developing dashboards, performing analysis using AI techniques, and providing data preprocessing, quality checks, data integration, and ...

Booz Allen Hamilton

Data Scientist, Mid

Arlington, VA · On-site

As a mid-level data scientist, you will analyze complex data sets, develop algorithms, and work closely with clients to provide actionable insights. Responsibilities : • Use analytical skills and ...

Spruce Infotech Inc

Data Modeler (mid-level)

Wilmington, DE

$53.25 - $69/hr

Data Modeler (mid-level) Location: Wilmington, DE Duration: 1 year + Interview mode: phone then F2F Description: Required Skills: Minimum 3-5+ years' experience modeling complex databases using 3rd ...

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How much do mid level data destruction jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for mid level data destruction in the United States is $22.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.12 per hour, depending on experience, location, and employer.
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Mid-Level Data Scientist 117-007

Mid-Level Data Scientist 117-007

IC-CAP LLC

Springfield, VA • On-site

Full-time

Posted 9 days ago

Job description

Mid-Level Data Scientist will support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Duties may Include:
  • Support NSG strategies through the research and creation of new methods, tools, and capabilities that support automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
  • Create and test the operational performance requirements and metrics of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.
  • Create and modify data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.
  • Engineer technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
  • Conduct research on emerging technologies and processes to be able to assess if they will be beneficial to the Collections Community.
  • Create tools, capabilities and workarounds based off gap analysis on existing technologies and processes.
  • Engineer, design, create, enhance, and integrate new BBN processes that utilize automation tools or scripts to drive predictive, activity-based automated collection.
  • Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology.
  • Engineer, adapt and create those solutions identified above.
  • Provide support for emerging requirements as assigned by the Government.
  • Implementing/Leading, ushering and executing tasks.
  • These are positions that exhibit technical proficiency in the work and should be expected to work with minimal oversight and often lead smaller teams in their service execution.
  • Should be fully capable of meeting most services without direction.
  • Work products should demonstrate consistent high quality tradecraft application.
  • Expected to assist lower-level personnel in developing tradecraft skills to meet work objectives.
  • Expected to collaborate with Government and other stakeholders in the performance of services.
  • Such collaboration should provide accurate technical information that contributes to synergized analysis that is better than the sum of the individual parts.

Education and Experience
Required:
  • Minimum of 5 years of combined experience.
  • Must have proficiency with Python

Desired:
  • Knowledge of GEOINT collection and associated NGA/NRO systems
  • Proficiency with common programming languages including JavaScript, HTML, and CSS
  • Experience with JEMA or low side equivalents (ESRI Model Builder, Alteryx, Tableau Prep)
  • Experience with activity based intelligence (ABI)
  • Experience applying machine learning algorithms to intelligence data
  • Experience with multi-INT data
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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