Data Scientist

Role Description

• Develop trade analytics solutions for compliance, risk scoring, and evasion detection (AD/CVD, transshipment, forced labor)
• Work with CBP systems (e.g., ACE) and support DHS mission objectives
• Build and optimize data pipelines using Databricks, Spark, and Delta Lake
• Design, train, and deploy ML/AI models using MLOps frameworks (MLflow, Kubeflow, CI/CD)
• Develop and implement GenAI solutions (RAG, prompt engineering, fine-tuning, agentic workflows)
• Apply explainable AI (XAI) techniques and Responsible AI frameworks (NIST AI RMF)
• Deliver secure solutions in AWS GovCloud or Azure FedRAMP environments
• Support ATO processes and ensure compliance with federal security standards
• Manage Agile tasks independently, including backlog ownership and stakeholder communication

Qualifications

• Experience with CBP/trade systems (ACE, AD/CVD, tariff enforcement) OR background in financial crimes, forensic analysis, or intelligence planning is preferred
• Hands-on expertise in Databricks, Apache Spark, and Delta Lake
• Strong MLOps experience (MLflow, Kubeflow, CI/CD for ML models)
• Experience with LLMs (RAG, fine-tuning, prompt engineering, GenAI deployment)
• Knowledge of Explainable AI (SHAP, LIME) and Responsible AI frameworks
• Experience working in AWS GovCloud or Azure FedRAMP (IL2+) environments
• Familiarity with ATO and secure federal data environments
• Ability to work independently with minimal supervision in federal programs
• Strong communication and stakeholder management skills