Securiport

Securiport

Senior Data Scientist

Reston, Virginia · Senior · Contract

Sponsorship not specifiedDetected 5 days ago
PythonFull-Stack DevelopmentData StructuresSQLBigQuerySnowflakeRedshiftMachine Learningscikit-learnPandasAirflowdbtData EngineeringData ScienceAI OrchestrationStatisticsValuationLogistics

About the role

  • KIBO is a registered United States company dedicated to providing governments worldwide its services of inspection, analysis, certification, and compliance.
  • Produce the customs-revenue baseline analysis used to establish reference metrics with the authorities.
  • Generate the recurring risk-assessment reports and the monthly reporting delivered to the customs administration, with clear, auditable lineage from source data to conclusion.

Responsibilities

  • Data integration. Build and maintain pipelines that ingest customs declaration data (ASYCUDA/SYDONIA) and commercial international trade-price data, reconciling schemas, units and currencies into a single analytical warehouse.
  • Construct the benchmarking that compares declared values against international reference prices - surfacing likely under-invoicing while respecting the WTO Customs Valuation framework - and document the method so findings are defensible.
  • Risk scoring. Design, train and monitor the models and rules that score declarations for anomalies in value, tariff classification and origin, and that prioritize shipments for inspection.
  • Build and maintain pipelines that ingest customs declaration data (ASYCUDA/SYDONIA) and commercial international trade-price data, reconciling schemas, units and currencies into a single analytical warehouse.
  • Design, train and monitor the models and rules that score declarations for anomalies in value, tariff classification and origin, and that prioritize shipments for inspection.
  • Deliver an initial customs-revenue baseline analysis and prototype the price-verification benchmarking and risk-scoring.
  • Produce the first risk-assessment reports that support inspection getting under way.
  • Reports to the Engagement / Delivery Lead; takes valuation-methodology guidance from the Customs & Valuation Subject-Matter Expert; partners with the Senior Full-Stack Developer on data access and tooling; consumes inspection results from the field via the Technical Manager and Data & IT Liaison.
  • The opportunity to help design a platform with long-term economic, operational, and public-sector impact.
  • Significant ownership and influence during a critical program build-out phase.

Requirements

  • Strong Python and SQL skills, with hands-on experience using tools such as pandas, scikit-learn, or equivalent analytical/modeling libraries.
  • Experience with anomaly detection, statistical benchmarking, supervised or unsupervised modeling, model monitoring, and performance evaluation.
  • Demonstrated ability to work with large transactional, logistics, financial, trade, or similarly complex operational datasets, including reconciling heterogeneous sources, schemas, units, and currencies.

Nice to have

  • Exposure to customs, international trade, tariff/HS classification, import/export data, valuation, or commercial trade-price data.
  • Familiarity with ASYCUDA/SYDONIA data structures or other customs, logistics, or government data systems.
  • Experience standing up analytics capabilities in data-constrained, emerging-market, public-sector, or operationally complex environments.
  • Experience with cloud data warehouses and workflow orchestration tools such as Snowflake, BigQuery, Redshift, Airflow, dbt, Prefect, or similar platforms.
  • What Success Looks Like in Your First Few Months
  • During your first months, you will:
  • Stand up the analytical environment and ingest initial customs and trade-data samples.
  • Reporting and Working Relationships

Compensation

  • Competitive compensation and a comprehensive benefits package.

Benefits

  • Competitive compensation and a comprehensive benefits package.

This listing is sourced directly from Securiport's careers page and normalized into a canonical job model.