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Momentum Engineering

Designs secure cloud-based data architectures

Data Scientist 4

Data ScienceConfirmed live in the last 24 hours
Full-timeFort Meade, MD, USA$170k - $220k /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 and 9 years of relevant experience, a Bachelor's degree and 11 years of relevant experience, or an Associate's degree and 13 years of in-depth relevant experience clearly related to the position.
  • Strong Python experience.
  • Proficiency with Jupyter notebooks and Pandas DataFrames.
  • Experience developing metrics and analyzing large or complex datasets.
  • Experience interacting with APIs and building or using data-retrieval tools.
  • Strong written and verbal communication skills.

Responsibilities

  • Develop, implement, and maintain data ontologies and dictionaries.
  • Establish systematic interdivisional metrics and performance measurements.
  • Perform data analysis using Python, Jupyter notebooks, Pandas, and related tools.
  • Develop data visualizations, reports, and dashboards.
  • Identify access, technical, and data gaps and recommend data-driven improvements.
  • Automate analytical and reporting workflows.
  • Develop or use APIs and tools to retrieve, transform, and analyze mission data.
  • Present analytical results and technical findings to Government and mission stakeholders.

Desired Qualifications

  • Experience with Shapely, Plotly, Tableau, Power BI, or Matplotlib.
  • Experience with Splunk or Kibana.
  • Experience with SQL, Java, C++, HTML, or Bootstrap.
  • Experience with SIGINT data collection or analysis.
  • Experience with SIGINT data standards, including 450/451.

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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