Data Scientist

Radiance Technologies•AL - Home, AL

1d•Remote

About The Position

Radiance Technologies is seeking a Data Scientist to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will develop advanced analytical solutions, machine learning models, and data-driven insights that support critical trade enforcement and national security missions. Working alongside government leaders, analysts, engineers, and fellow data scientists, you will transform complex datasets into actionable intelligence that improves operational effectiveness and supports informed decision-making.

Requirements

Master's Degree or Ph.D. in: 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.
Active Top Secret security clearance required.
Ability to obtain and maintain access to DHS and CBP systems and facilities.

Nice To Haves

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

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.