Senior Data Scientist

What You'll Do

• Lead the design, development, validation, and deployment of machine learning and AI solutions.
• Congduct 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.

Required Qualifications

• Education: Master's Degree or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• Experience: 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: 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.
• Knowledge & Skills: 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.
• Technical Skills: Experience with Python, SQL, R, Spark, Databricks, TensorFlow, PyTorch, Scikit-Learn, Power BI, Tableau, Git, and Agile Methodologies.

Security Requirements

• 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

About the Role

Radiance Technologies is a 100% employee-owned company dedicated to solving complex national security challenges through innovation, technical excellence, and mission-focused solutions. We empower our employees to grow professionally while working on meaningful programs that make a real impact.

Skills

• 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.

Qualifications

• Education: Master's Degree or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• Experience: 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: 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.
• Knowledge & Skills: 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.

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