Senior Data Scientist

Securiport LLC

$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science or quantitative analytics, with a focus on real operational data.
  • Strong skills in Python and SQL, using tools like pandas and scikit-learn for analytics.
  • Experience in anomaly detection and statistical benchmarking with model monitoring.
  • Proficient in handling complex datasets and reconciling heterogeneous data sources.
  • Ability to document methodologies clearly and explain quantitative analyses to non-experts.
  • Strong practices in data governance, focusing on reproducibility and data quality.

Responsibilities

  • Build and maintain pipelines to integrate customs and trade data into an analytical warehouse.
  • Construct benchmarking tools for price verification against international references, ensuring defensibility.
  • Design and monitor risk-scoring models to identify anomalies for inspection prioritization.
  • Produce customs-revenue baseline analyses to establish reference metrics for authorities.
  • Generate clear, auditable risk-assessment reports for customs administration.
  • Incorporate field-inspection results into models to enhance detection accuracy.

Benefits

  • Competitive compensation and comprehensive benefits package.
  • High-impact work supporting national customs modernization.
  • Opportunity to design a platform with significant economic impact.
  • Collaborative team of specialists in customs and data technologies.
  • Significant ownership during critical program development phase.
  • Professional growth opportunities as the program expands.
Full Job Description
The Senior Data Scientist owns the analytics engine behind KIBO's service - the price-verification benchmarking and the risk-scoring that turn import-declaration data and international trade data into defensible, inspection-ready outputs and the reporting delivered to the customs administration. It is the pivotal quantitative role, and includes building the customs-revenue baseline analysis that underpins the program.

Key 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. 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.
  • 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 Qualifications
  • 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 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.
  • Ability to clearly document analytical methods, explain findings, and defend quantitative outputs to non-technical stakeholders, auditors, or government counterparts.
  • Strong data-governance practices, including reproducibility, data lineage, version control, quality checks, and appropriate handling of sensitive data.


Preferred Qualifications
  • 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.
  • #LI-NA1


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.
  • 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.


Reporting and Working Relationships

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.

What KIBO Offers
  • Competitive compensation and a comprehensive benefits package.
  • High-impact, mission-driven work supporting the modernization of a national customs administration.
  • The opportunity to help design a platform with long-term economic, operational, and public-sector impact.
  • A collaborative, multidisciplinary team of customs, technology, data, and engineering specialists.
  • Significant ownership and influence during a critical program build-out phase.
  • Opportunities for professional growth as the platform and program expand.


If you are motivated by mission-driven work and want to help establish the architecture behind a transformative customs-modernization program, we encourage you to apply.

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