Senior Data Architect / Data Scientist

Chenega Corporation•Arlington, VA

7d•Onsite

About The Position

The Senior Data Architect / Data Scientist designs, develops, and implements advanced data architectures and analytics solutions supporting CDAO data-driven mission capabilities. Directly supports CDAO stakeholders while 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 Top Secret security clearance required.
Ability to work on-site 5 days a week
Ability to obtain SCI Clearance
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
Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
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 strongly desired.
Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

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.