Responsibilities
- Apply statistical analysis, machine learning, and artificial intelligence techniques to solve complex business and mission challenges.
- Analyze large datasets to identify trends, patterns, anomalies, and operational insights.
- Develop predictive, prescriptive, and advanced analytical solutions.
- Design, build, evaluate, and refine machine learning models.
- Develop data visualizations, dashboards, and analytical products that communicate findings effectively.
- Transform raw data into actionable recommendations for stakeholders.
- Collaborate with customers to understand mission needs and operational requirements.
- Support enterprise analytics initiatives and decision-support capabilities.
- Participate in model validation, testing, and quality assurance activities.
- Provide technical leadership and mentoring within project teams.
- Participate in Agile development activities and cross-functional collaboration.
- Data Science
- Statistics
- Applied Mathematics
- Computer Science
- Operations Research
- Artificial Intelligence
- Or a related quantitative discipline
- Six (6) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
- Three (3) years of direct machine learning experience.
- Experience working with large-scale structured and complex datasets.
- Experience developing predictive and prescriptive analytics solutions.
- Experience designing and implementing statistical and machine learning models.
- Experience supporting enterprise analytics and decision-support initiatives.
- Expertise in data mining, statistical analysis, machine learning, artificial intelligence, and data visualization.
- Strong analytical, quantitative, and problem-solving skills.
- Ability to communicate analytical concepts and findings to technical and non-technical audiences.
- Ability to independently lead analytical efforts from concept through implementation.
Preferred qualifications
- Experience supporting CBP, DHS, defense, intelligence, law enforcement, financial crimes, or trade-related programs.
- Experience with trade analytics, fraud detection, risk scoring, compliance monitoring, or investigative analytics.
- Experience developing production-ready machine learning solutions.
- Familiarity with Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps practices.
- Experience with cloud-based analytics and enterprise data 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
- Exposure to Advanced Analytics, AI, and Big Data Technologies
- Career Growth and Professional Development
- Collaborative and Innovative Culture
- Competitive Compensation and Benefits
Tags & focus areas
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