Data Scientist

West 4th Strategy•Washington, DC

13d•$140,000 - $155,000•Remote

About The Position

We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package.

Requirements

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
Active Secret security clearance
U.S. citizenship is required

Nice To Haves

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

Responsibilities

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