Data Scientist

Data Scientist

Location: Tysons Corner, Virginia (Hybrid Position)

Type: Full-Time

Exiger is seeking a Data Scientist with advanced expertise in machine learning, NLP/LLMs, and statistical modeling to drive mission-focused analytics in customs and trade enforcement. This role is ideal for an individual who thrives at the intersection of data science, compliance, and policy, and can apply technical innovation to strengthen enforcement, optimize tariff revenue, and mitigate supply chain risk.

The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and tariff analysis tools, working closely with AI Solutions Engineers to ensure seamless integration into customer environments. The individual will also design dashboards and visualizations, conduct econometric trade flow analysis, and present mission-ready insights to enforcement and compliance stakeholders—aligning advanced analytics with the operational goals of U.S. government partners.

Responsibilities

• 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.

Qualifications / Skills

• 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.

• 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

#LI-Hybrid