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Data Scientist

Mclean, Virginia, United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

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 involves applying 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 with AI Solutions Engineers for integration. Responsibilities include designing dashboards, conducting trade flow analysis, and presenting insights to stakeholders. The ideal candidate possesses strong Python, SQL, ML, NLP/LLM skills, and knowledge of trade compliance frameworks.

Who We Are:
Exiger transforms supply chains into a strategic advantage—advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers—including Fortune 500 companies and U.S. government agencies—Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.
Data Scientist
Location: Tysons Corner, Virginia
Work Environment: Hybrid
Type: Full-Time
Role Summary:
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.
What You'll Do:

  • 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.

What You Need:

  • 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.

We’re an amazing place to work. Why?

  • High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
  • 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

Exiger is named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at
Exiger.com
and follow Exiger on
LinkedIn
.
At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused—committed to building technology that makes the world safer, more transparent, and more resilient.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
*Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.*

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