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Data Scientist Engineer (US Citizens Only)

Confidential ClientAerospace & Defense
Entry LevelContractHybridN/A
Dallas, Texas
18 Hours Ago

The Data Scientist Engineer role at Confidential Client involves designing and developing data visualizations, performing complex data analysis, and applying machine learning techniques to support evidence-based decision-making. This hybrid contract position requires collaboration with engineering teams and stakeholders to drive data-driven strategies, with a strong emphasis on software development practices and maintaining a DoD Top Secret clearance.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


What You’ll Do

  • Design and develop clear, actionable data visualizations using Power BI, Tableau, or similar tools to communicate insights.
  • Analyze large, complex datasets to generate reports and data-driven recommendations.
  • Work with databases for data ingestion, transformation, reporting, and management.
  • Apply machine learning techniques for cleaning, exploratory analysis, modeling, and visualization.
  • Perform feature engineering, feature selection, and data reduction to produce metrics that support evidence-based decisions.
  • Automate data processing and reporting pipelines to improve efficiency and scalability.
  • Collaborate with engineering teams to integrate models and communicate technical findings.
  • Support analysis across the full system lifecycle (concept, design, modeling, testing, operation, maintenance).
  • Interface with stakeholders — including customers, program management, and senior leadership — to align analysis with business and mission objectives.

Qualifications You Must Have

  • Degree in a STEM discipline (or equivalent experience) plus a minimum of 2 years of relevant experience.
  • Professional Python development experience, including libraries such as numpy, scipy, scikit-image, and scikit-learn for production-level work.
  • Strong SQL and database management skills (e.g., Microsoft SQL, MySQL).
  • Experience with software development best practices: documentation, testing, bug tracking, version control, and MLOps principles.
  • Active and transferable U.S. government DoD Top Secret security clearance required prior to start date. U.S. citizenship is required because only U.S. citizens are eligible for a security clearance.

Preferred Qualifications

  • Active DoD Top Secret clearance with investigation within the past five years.
  • Advanced degree in a STEM field.
  • Hands-on experience with tools and workflows like Jupyter, scikit-learn, Tableau, MATLAB/Simulink, DOORS, DNG, Cameo, Jira, and Confluence.
  • Background in Model-Based Systems Engineering (MBSE), digital thread concepts, and DevSecOps.
  • Experience diagnosing RF and system power issues.
  • Familiarity implementing MLOps / deployment pipelines for machine learning models.

Contract & Location Details

  • Employment type: Contract (12–24 months).
  • Work arrangement: Hybrid in Dallas, TX (on-site attendance as required).
  • Clearance & eligibility: Active and transferable DoD Top Secret clearance required before start. U.S. citizenship required.

Additional Notes & Candidate Protections

  • Careertakes and our client comply with U.S. federal, state, and local employment laws. Applicants will be considered without regard to protected characteristics.
  • If you need a reasonable accommodation for any part of the application or interview process, please let Careertakes know so we can work with the client to support you.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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