Principal Data Architect

🕒 September 12

🏛️ District of Columbia, Washington – Remote

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⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 20%

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Logo of ASRC Federal

ASRC Federal

5001 - 10000 employees

Founded 2003

🎖️ Defense

🚀 Aerospace

🏛️ Government

Defense • Aerospace • Government

ASRC Federal is a wholly-owned subsidiary of Arctic Slope Regional Corporation that provides federal government contracting services across space, civilian, defense & intelligence, national security, and health markets. It delivers engineering solutions, digital operations and IT modernization, software, applications & analytics, supply chain management & logistics, infrastructure operations, and professional services to support missions such as NASA space programs, FAA aviation safety/operations, Air Force industrial support, cyber defense, and base/resiliency operations. The company operates a family of businesses whose earnings support ASRC’s more than 14,000 Iñupiaq shareholders and employs roughly 9,000 people.

📋 Description

• Lead the design, development, validation, and documentation of data remediation approaches and analytical methods supporting AI/ML solutions • Ensure data approaches align with the LESA Data Quality Potential Error Inventory and applicable DHS/ICE policies • Develop AI and machine learning models to detect, remediate, and prevent data quality issues • Utilize cleaned and annotated datasets from ongoing remediation efforts • Oversee integration of AI-driven models, automation scripts, dashboards, and other data quality tools • Collaborate with stakeholders to identify data quality issues, determine root causes, and recommend or implement corrective actions • Facilitate user training and knowledge transfer on analytics and data quality processes • Design, implement, and maintain enterprise data architecture for ICE mission-critical systems including EID, EAGLE, and EARM

🎯 Requirements

• Minimum bachelor’s degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline • Advanced degree (master’s or doctorate) preferred • At least eight (8) years of experience in data science, advanced analytics, or a closely related field • Hands-on experience designing and implementing analytical solutions in operational settings • Experience applying advanced statistical techniques, machine learning, and AI to real-world datasets • Proficiency with SQL, Python, R, Databricks, and modern data analytics toolsets • Strong communication skills and ability to explain technical concepts clearly • Required: SECRET Security clearance or ability to obtain one, as required for accessing sensitive data

🏖️ Benefits

• Top veteran employer • Certified Great Place to Work™ • Remote work arrangement

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