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Momentum Engineering

Designs secure cloud-based data architectures

Data Scientist 3

Data ScienceConfirmed live in the last 24 hours
Full-timeFort Meade, MD, USA$135k - $180k /yrIn-person

About the Job

Requirements

  • Must have an active Top Secret/SCI clearance with NSA Full Scope Polygraph.
  • Have a Master’s degree with 6 years of relevant experience, a Bachelor’s degree with 8 years of relevant experience, or an Associate’s degree with 10 years of in-depth relevant experience clearly related to the position.
  • Have prior experience as an analyst, targeteer, or in a discovery-related discipline.
  • Have experience with scripting and workflow automation.
  • Have experience performing data analysis and statistical analysis.
  • Have experience developing analytical prototypes and data visualizations.
  • Be able to rapidly learn and apply new tools and technologies.

Responsibilities

  • Conduct advanced discovery and analytical activities supporting mission requirements.
  • Apply machine learning and statistical analysis techniques to identify patterns, relationships, and areas for further investigation.
  • Develop analytical prototypes, scripts, and automated workflows.
  • Create data visualizations to communicate analytical findings.
  • Use TechSIGINT tools and related analytical technologies.
  • Evaluate and adopt new tools and technical approaches as mission needs evolve.
  • Collaborate with analysts, engineers, and mission stakeholders.

Desired Qualifications

  • Have experience with machine learning.
  • Have experience with TechSIGINT tools.
  • Have experience supporting advanced intelligence discovery missions.

About the Company

Momentum Engineering

Designs secure cloud-based data architectures

Momentum Engineering builds secure, cloud-based data engineering solutions that help clients run mission-critical analytics and improve software performance. Its offerings center on designing robust data architectures and data-driven engineering methodologies, implemented through DevOps and DevSecOps practices to ensure reliable, measurable performance. The company differentiates itself by focusing on secure architectures tailored to clients' needs, rigorous evaluation and validation of data-driven approaches, and a client-focused service model with collaborative culture and profit-sharing to attract top talent. The goal is to provide dependable data infrastructure and engineering processes that enable better analytics outcomes and software reliability for engineers, analysts, developers, and instructors.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Columbia, SC
Founded
2015

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