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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

  • Master's degree with 6 years of relevant experience, Bachelor's degree with 8 years of relevant experience, or Associate's degree with 10 years of in-depth relevant experience clearly related to the position.
  • Experience performing data analysis, business intelligence, or data science activities supporting enterprise operations.
  • Experience developing metrics dashboards and data visualizations.
  • Proficiency with Python for data analysis and automation.
  • Advanced proficiency with Microsoft Excel, including data analysis, formulas, pivot tables, and reporting.
  • Experience using SharePoint for collaboration, document management, or workflow support.
  • Active Top Secret/SCI clearance with Full Scope Polygraph for the Maryland customer.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Written and verbal communication skills to communicate technical concepts to technical and non-technical audiences.

Responsibilities

  • Analyze structured and unstructured data to identify trends, patterns, and actionable insights supporting mission objectives.
  • Collaborate with technical teams, policymakers, and mission stakeholders to understand operational challenges and define data-driven solutions.
  • Develop project scopes, use cases, and workflow integration strategies that improve operational efficiency and decision-making.
  • Design, develop, and maintain interactive metrics dashboards, reports, and data visualizations communicating key performance indicators and operational metrics.
  • Use Python and analytical tools to collect, cleanse, transform, analyze, and visualize enterprise data.
  • Develop automated workflows and reporting solutions to streamline business processes and improve data accessibility.
  • Support data governance initiatives by ensuring data quality, consistency, and integrity across multiple data sources.
  • Analyze business processes and recommend opportunities for automation, optimization, and continuous improvement.
  • Create executive-level presentations, reports, and visualizations communicating complex analytical findings clearly and actionably.
  • Use Microsoft Excel, SharePoint, and other collaboration tools to support data management, reporting, and information sharing.
  • Partner with multidisciplinary teams to identify analytical opportunities and implement data solutions.
  • Develop and maintain technical documentation, data definitions, workflow diagrams, and analytical methodologies.

Desired Qualifications

  • Experience supporting Department of Defense or Intelligence Community programs.
  • Experience developing business intelligence dashboards using Power BI, Tableau, or similar visualization platforms.
  • Experience gathering requirements and developing business use cases for workflow automation initiatives.
  • Knowledge of workflow management, process improvement, and business process analysis methodologies.
  • Experience integrating data from multiple enterprise systems.
  • Familiarity with SQL and relational databases.
  • Experience supporting executive leadership through metrics reporting and decision support.
  • Experience with automation technologies, scripting, or low-code workflow platforms.
  • Familiarity with Agile project management methodologies and collaboration tools.

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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