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Momentum Engineering

Designs secure cloud-based data architectures

Data Scientist 3

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeFort Meade, MD, USA$135k - $180kIn-person

About the Job

Requirements

  • Must have an active Top Secret/SCI clearance with NSA Full Scope Polygraph.
  • 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 Natural Language Processing.
  • Experience processing text and/or speech data.
  • Experience developing automated language-processing solutions.
  • Understanding of tokenization and linguistic annotation concepts.
  • Experience evaluating model performance.
  • Strong analytical and software-development skills.

Responsibilities

  • Develop Natural Language Processing solutions for spoken and written language data.
  • Develop automated approaches for accurate language tokenization.
  • Create automated solutions for annotating language data with parts-of-speech information.
  • Analyze speech and text datasets.
  • Improve existing Natural Language Processing models and processing techniques.
  • Evaluate model performance against human-generated annotations.
  • Develop quantitative methods for measuring model accuracy and effectiveness.
  • Document model performance, analytical methods, and recommended improvements.

Desired Qualifications

  • Experience with parts-of-speech tagging.
  • A computational linguistics background.
  • Experience evaluating automated Natural Language Processing output against human-generated annotations.
  • Experience working with both speech and text datasets.

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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