Data Scientist, Cloud Analytics & ML Roadmap

Archer

Fort Meade (MD)

On-site

USD 120,000 - 170,000

Full time

19 hours ago
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Job summary

Archer, in collaboration with MANTECH, seeks a Data Scientist in Fort Meade, MD to drive statistical analytics and cloud-based data solutions for national security objectives.

You will work with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for future ML integration into mission operations.

Qualifications

  • 7+ years of experience in data science, data engineering, data analytics, or related technical role.
  • Bachelor’s degree in a quantitative or technical field or 4 additional years of direct relevant experience.
  • Experience with Python, R, SQL or similar data analysis tools.

Responsibilities

  • Execute and contribute technical expertise across multiple data science and analytic development efforts in a secure cloud environment.
  • Collaborate with customers, analysts, and subject matter experts to align analytic requirements with mission goals.
  • Prototype and transition data pipelines and analytic prototypes into scalable, operational environments.
  • Apply statistical modeling, data analysis, and graph-based approaches to complex datasets, preparing workflows for future ML applications.
  • Manage analytic tasks and deliver high-quality technical work to meet project objectives.

Skills

Statistical analysis
Data analysis
Cloud computing

Education

Bachelor's degree in quantitative or technical field

Tools

Python
R
SQL

Job description

Archer, in collaboration with MANTECH, seeks a Data Scientist in Fort Meade, MD to drive statistical analytics and cloud-based data solutions for national security objectives.

You will work with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for future ML integration into mission operations.

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