Senior Data Scientist

• Posted 8 hours ago • Updated 8 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Decision-making
  • Technical Direction
  • Predictive Analytics
  • Emerging Technologies
  • Dashboard
  • Quality Assurance
  • IT Management
  • Strategic Planning
  • Cross-functional Team
  • Collaboration
  • Applied Mathematics
  • Research
  • Big Data
  • Statistics
  • Data Science
  • Computer Science
  • Operations Research
  • Management
  • Advanced Analytics
  • Presentations
  • Machine Learning (ML)
  • Statistical Models
  • Data Mining
  • Analytical Skill
  • Evaluation
  • Mentorship
  • Problem Solving
  • Conflict Resolution
  • Law Enforcement
  • Fraud
  • Natural Language Processing
  • Large Language Models (LLMs)
  • Machine Learning Operations (ML Ops)
  • Amazon Web Services
  • Microsoft Azure
  • Cloud Computing
  • Python
  • SQL
  • R
  • Apache Spark
  • Databricks
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Microsoft Power BI
  • Tableau
  • Git
  • Agile
  • Security Clearance
  • Innovation
  • Leadership
  • Artificial Intelligence
  • Analytics
  • Professional Development

Summary

Advanced Trade Analytics Platform (ATAP)
Remote (U.S.)
Active Top Secret Clearance Required

Lead Advanced Analytics and AI Solutions for National Security

Radiance Technologies is seeking an experienced Senior Data Scientist to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will lead the design and development of advanced analytics, machine learning, and artificial intelligence solutions that support mission-critical decision-making and trade enforcement operations.

You will collaborate with government leaders, engineers, analysts, and data scientists to solve complex business challenges, develop innovative analytical capabilities, and guide the technical direction of data science initiatives.

What You'll Do
  • 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.

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

A Ph.D. may substitute for up to three years of relevant experience.

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 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.
  • Experience with Databricks, Spark, AWS GovCloud, Azure Government, and cloud-native analytics platforms.

Preferred Technical Skills
  • Python
  • SQL
  • R
  • Spark
  • Databricks
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Power BI
  • Tableau
  • Git
  • Agile Methodologies

Security Requirements
  • Active Top Secret security clearance required.
  • Ability to obtain and maintain access to DHS and CBP systems and facilities.

Why Radiance?

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.

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

Join Radiance Technologies and help transform data into mission success.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10198410
  • Position Id: bd21a073b545dfd34ed8477816be2495
  • Posted 8 hours ago
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