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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.
  • Must 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.
  • Experience with scripting and workflow automation.
  • Experience with data analysis, statistical analysis, and visualization.
  • Ability to develop analytical prototypes.
  • Ability to work effectively in team and collaborative environments.
  • Ability to adapt to new technical tools and mission requirements.

Responsibilities

  • Provide advanced discovery and analytical support to mission stakeholders.
  • Apply machine learning and statistical analysis techniques to complex mission data.
  • Develop analytical prototypes, scripts, and automated workflows.
  • Create data visualizations to communicate findings and identify patterns or trends.
  • Use TechSIGINT tools to support discovery and analysis activities.
  • Evaluate and rapidly adopt new analytical tools and technologies.
  • Collaborate with analysts, engineers, and other technical personnel.
  • Document analytical approaches, results, and recommendations.

Desired Qualifications

  • Prior experience as an analyst, targeteer, or in a discovery-focused role.
  • Machine learning experience.
  • TechSIGINT experience.

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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