Exiger

Data Scientist

Exiger

full-time

Posted on:

Location Type: Hybrid

Location: Tysons Corner • Virginia • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

NumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Develop and apply machine learning (ML) and natural language processing (NLP/LLM) models to support customer needs.
  • Conduct statistical and econometric analysis of large-scale customs and trade datasets to identify anomalies, fraud risks, and tariff revenue optimization opportunities.
  • Build predictive risk models to prioritize shipments for review based on compliance, diversion, or misclassification indicators.
  • Perform tariff and trade flow analysis to support classification accuracy, customs valuation, and duty collection forecasting.
  • Design and maintain dashboards, reports, and data visualizations to communicate findings to customers.
  • Collaborate with AI Solutions Engineers to ensure analytical models are operationalized within customer systems and data pipelines.
  • Present results and technical findings in clear, mission-focused language for enforcement, compliance, and policy stakeholders.

Requirements

  • Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics.
  • Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics.
  • Experience with LLMs (development, fine-tuning, applied use cases in classification and text analysis).
  • Knowledge of tariff classification, customs valuation, origin determination, and the Harmonized Tariff Schedule (HTSUS).
  • Understanding of transshipment rules, including substantial transformation, and ability to detect compliance risks in diverted/misclassified shipments.
  • Familiarity with U.S. trade compliance frameworks.
  • Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver insights and decision support.
  • Experience with large-scale datasets and integration with customer systems.
  • Strong communication skills to translate complex analytical outputs into actionable insights for customers.
  • Ability to work collaboratively with engineers, analysts, and mission operators to align data science outputs with operational enforcement goals.
Benefits
  • Discretionary Time Off for all employees, with no maximum limits on time off
  • Industry leading health, vision, and dental benefits
  • Competitive compensation package
  • 16 weeks of fully paid parental leave
  • Flexible, hybrid approach to working from home and in the office where applicable
  • Focus on wellness and employee health through stipends and dedicated wellness programming
  • Purposeful career development programs with reimbursement provided for educational certifications

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonpandasNumPyscikit-learnTensorFlowPyTorchSQLapplied statisticsmachine learningpredictive analytics
Soft skills
strong communication skillscollaborationability to translate complex outputsmission-focused presentationanalytical thinking