Data Scientist

Location: Remote

• Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
• Develop ETL and data-transformation processes using Databricks, Python, Spark, SQL, and distributed-compute tools
• Automate data ingestion, transformation, reconciliation, and downstream delivery across multiple source systems
• Implement data-quality controls, validation frameworks, schema enforcement, anomaly detection, and integrity checks
• Integrate structured and semi-structured datasets while applying business rules to ensure accurate, governed data products
• Troubleshoot ETL issues and pipeline failures, identify root causes, and implement effective remediations
• Collaborate with cross-functional teams and mission stakeholders to translate requirements into scalable analytical solutions
• Improve data-processing efficiency and reliability across enterprise analytics workflows
• Develop dashboards, models, and decision-support artifacts that support reconciliation, reporting, and mission-critical analysis

• Three (3) to ten (10) years of directly related experience as a Data Analyst or Data Scientist
• Hands-on expertise with Databricks, Python, Spark, SQL, and distributed-compute tools for ETL and data transformation
• Demonstrated ability to build, maintain, and optimize end-to-end data pipelines with strong data-quality controls
• Experience implementing validation frameworks, schema enforcement, anomaly detection, and other data-quality techniques
• Experience integrating structured and semi-structured datasets from multiple systems and applying business rules for governed downstream delivery
• Ability to automate ingestion, transformation, and reconciliation workflows using Python scripts, SQL logic, and Databricks orchestration
• Strong analytical and troubleshooting skills, including the ability to diagnose pipeline failures and propose remediations

• Experience working with DoW datasets, financial data structures, and audit-support environments
• Familiarity with Delta Lake, Unity Catalog, Auto Loader, Streaming, or similar enterprise data-governance and cataloging tools
• Proficiency building dashboards or analytical data products using Qlik, Tableau, or similar visualization platforms
• Experience developing data-quality monitoring systems, hash-based integrity checks, or automated validation logic aligned to compliance requirements
• Background in cloud data environments such as AWS S3, distributed storage, or external tables

• B.A./B.S. or M.A./M.S. in a relevant field

• Remote - Full telework

• Active Secret security clearance
• U.S. citizenship is required

• Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller - Booz Allen Hamilton subcontract

• Full-time position

• Employment Classification Eligibility - W2

• Salary range: $140,000 - $155,000
• Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options