Senior Data Architect / Data Scientist
$150,000–$150,000 year
On-siteArlington, Virginia, United States
Job Summary
Design scalable enterprise data architectures and develop data pipelines supporting large-scale analytics and AI initiatives. Build and deploy machine learning models for operational decision-making while integrating multiple data sources across enterprise environments. Implement big data technologies to advance analytics platforms and support data governance frameworks. Collaborate with engineers, analysts, and mission stakeholders to deliver consensus-driven data solutions. Requires on-site presence five days a week within a fast-paced contracting environment. Active Secret security clearance is mandatory.
Required Qualifications
- 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
- Ability to work on-site 5 days a week
- Ability to work independently and yet be effective within a team setting
- Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment
- Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals
- Excellent skills in Microsoft Word, Excel, and other Office applications
- Proficient with Microsoft Office Applications, and experience working in a home office setting as well as the ability to train end users on frequently asked technical issues
- Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience
Desired Qualifications
- 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
- Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it
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