Senior Data Architect / Data Scientist

Chenega CorpArlington, VA
$150,000 - $165,000Onsite

About The Position

Chenega Military, Intelligence & Operations Support (MIOS) is seeking a Senior Data Architect / Data Scientist to join their team. This role involves enhancing skills and building a career in a rapidly evolving business climate, with a focus on professional development. The Senior Data Architect / Data Scientist will design, develop, and implement advanced data architectures and analytics solutions to support CDAO data-driven mission capabilities, directly assisting CDAO stakeholders and ensuring quality deliverables.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
  • 8+ years of experience in data engineering, data science, or analytics.
  • Experience supporting federal and/or DoD customers.
  • Experience with machine learning frameworks, data analytics tools, and cloud-based data platforms.
  • Active Secret security clearance required (or higher).

Nice To Haves

  • Master’s degree preferred.
  • Experience supporting DoD, CDAO, Joint Staff, or Combatant Command data, AI, and digital modernization initiatives.
  • Demonstrated experience designing and implementing cloud-based data architectures, data lakes, and advanced analytics platforms within AWS, Azure, or similar environments.
  • Experience developing and deploying machine learning, artificial intelligence, and predictive analytics solutions supporting mission operations and decision-making.
  • Professional certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, Databricks Certified Data Engineer, or equivalent.

Responsibilities

  • Design scalable enterprise data architectures supporting large-scale analytics and AI initiatives.
  • Develop data pipelines and analytics models supporting mission decision-making.
  • Build and deploy machine learning models supporting operational analytics.
  • Support development of data governance and data management frameworks.
  • Integrate multiple data sources across enterprise environments.
  • Implement big data technologies supporting advanced analytics platforms.
  • Collaborate with engineers, analysts, and mission stakeholders to build consensus and deliver data solutions.
  • Other duties as assigned.

Benefits

  • Professional development opportunities
  • On-the-job learning experiences
  • Formal development programs
  • Well-being programs
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