West 4th Strategy, LLC
Posted 10 days agoVerified live 2d ago
Data Scientist
Brief overview
Remote
MastersOr in progress
$140k–$155k/yrStated range
3+ yrsMinimum
Clearance requiredU.S. government
DatabricksPythonApache SparkSQLData Pipeline DevelopmentETL and Data TransformationData Quality ValidationSchema EnforcementAnomaly DetectionStructured and Semi-Structured Data IntegrationData ReconciliationSecret Security Clearance
About the company
West 4th Strategy, LLCwest4thstrategy.com
West 4th, now strengthened by the acquisition of Integrated Systems (ISI), delivers rapid response technology services and mission-focused solutions to civilian, defense, and homeland security customers.
Job description
Summary
West 4th Strategy, LLC is seeking an experienced Data Scientist to support the Office of the Under Secretary of Defense for Personnel and Readiness Comptroller. The role focuses on building scalable data pipelines, analytical workflows, and governed data products using Databricks, Python, Spark, and SQL, while supporting data quality, reconciliation, reporting, and enterprise analytics.
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
Skills
- 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
- B.A./B.S. or M.A./M.S. in a relevant field
- Active Secret security clearance
- U.S. citizenship is required
- 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
Qualifications
Must Haves
- 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
- B.A./B.S. or M.A./M.S. in a relevant field
- 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
Benefits
- This is a full-time, fully remote opportunity.
- Health insurance coverage
- Dental insurance coverage
- Vision insurance coverage
- 401k contribution options