Responsibilities
- Lead the design, development, validation, and deployment of machine learning and AI solutions.
- Conduct applied research and develop analytical approaches to solve complex mission challenges.
- Design and execute studies using large-scale structured and unstructured datasets.
- Develop statistical models, predictive analytics solutions, and advanced analytical methodologies.
- Advise program leadership on technical strategies, emerging technologies, and analytical best practices.
- Deliver analytical findings through reports, visualizations, dashboards, and executive briefings.
- Lead model validation, quality assurance, and technical review activities.
- Mentor data scientists and analysts while providing technical leadership across project teams.
- Collaborate with stakeholders to identify mission gaps and data-driven solutions.
- Support strategic planning and capability development initiatives.
- Participate in Agile development activities and cross-functional team collaboration.
- Data Science
- Statistics
- Applied Mathematics
- Computer Science
- Operations Research
- Artificial Intelligence
- Machine Learning
- Or a related quantitative discipline
- Ten (10) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
- Seven (7) years of direct machine learning experience.
- Experience developing and deploying machine learning models in production environments.
- Experience leading technical teams and advanced analytics initiatives.
- Experience working with large-scale datasets and complex analytical problems.
- Experience presenting technical findings to executive and stakeholder audiences.
- Expertise in machine learning, artificial intelligence, statistical modeling, and data mining.
- Strong understanding of model validation and analytical evaluation techniques.
- Ability to communicate complex technical concepts to technical and non-technical audiences.
- Strong leadership, mentoring, consulting, and problem-solving skills.
Preferred qualifications
- Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade enforcement missions.
- Experience with trade analytics, fraud detection, risk scoring, targeting, or investigative analytics.
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps.
- Experience with Databricks, Spark, AWS GovCloud, Azure Government, and cloud-native analytics platforms.
- Python
- SQL
- R
- Spark
- Databricks
- TensorFlow
- PyTorch
- Scikit-Learn
- Power BI
- Tableau
- Git
- Agile Methodologies
- Active Top Secret security clearance required.
- Ability to obtain and maintain access to DHS and CBP systems and facilities.
Benefits
- 100% Employee-Owned (ESOP)
- Remote Work Flexibility
- Meaningful National Security Mission
- Career Growth and Leadership Opportunities
- Exposure to Advanced AI and Analytics Technologies
- Collaborative and Innovative Culture
- Professional Development Opportunities
- Competitive Compensation and Benefits
Tags & focus areas
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