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Senior Data Scientist

Sec*** · Reston, VA, United States
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Reston, VA, United StatesOnsite
Remuneration
Not specified
Location
Reston, VA, United States
Visa sponsorship
Sponsors visa

Job summary

KIBO is a registered United States company dedicated to providing governments worldwide its services of inspection, analysis, certification, and compliance.

Benefits

Package.High-impact, mission-driven work supporting the modernization of a national custThe opportunity to help design a platform with long-term economic, operational,A collaborative, multidisciplinary team of customs, technology, data, and engineSignificant ownership and influence during a critical program build-out phase.Opportunities for professional growth as the platform and program expand.KIBO Laboratories LLC is an equal-opportunity employer and welcomes qualified apOffers are contingent on background, right-to-work and — where applicable — sanc

Qualifications

  • KIBO is a registered United States company dedicated to providing governments worldwide its services of inspection, analysis, certification, and compliance.
  • 5+ years of experience in data science, quantitative analytics, applied statistics, or machine learning, including production experience building models and data pipelines using real operational data.
  • Strong Python and SQL
  • 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

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.
  • Price-verification analytics.
  • 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.
  • Revenue-baseline analysis.
  • 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.
  • Feedback loop.
  • Incorporate field-inspection results back into the models to improve hit-rates over time.
  • Required

Degrees

Associate

Industry

LogisticsPublic-sector

Company size

Smb