Data Scientist

Posted 3 Days Ago
Hiring Remotely in Location, WV, USA
In-Office or Remote
Senior level
Aerospace
The Role
Design, build, validate, and deploy machine learning and advanced analytics solutions for CBP's ATAP. Analyze large-scale datasets, produce visualizations and dashboards, translate findings into operational recommendations, mentor team members, and collaborate with stakeholders to support mission-driven decision support.
Summary Generated by Built In

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

Solve Complex Problems with Data, AI, and Advanced Analytics

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.

What You'll Do

  • 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.

Required Qualifications

Education

Master's Degree or Ph.D. in:

  • Data Science
  • Statistics
  • Applied Mathematics
  • Computer Science
  • Operations Research
  • Artificial Intelligence
  • Or a related quantitative discipline

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

Experience

  • 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.

Knowledge & Skills

  • 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.

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 provide opportunities to work on meaningful programs, collaborate with talented professionals, and grow your career while making a direct impact.

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

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.

Skills Required

  • Master's degree or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Artificial Intelligence, or related quantitative discipline
  • Six years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines
  • Three 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
  • Ability to communicate analytical concepts to technical and non-technical audiences
  • Ability to independently lead analytical efforts from concept through implementation
  • Active Top Secret security clearance
  • Ability to obtain and maintain access to DHS and CBP systems and facilities
  • 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; cloud-based analytics and enterprise data platforms
  • Familiarity with NLP, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps practices
  • Preferred technical skills: Python, SQL, R, Spark, Databricks, TensorFlow, PyTorch, Scikit-Learn, Power BI, Tableau, Git

Radiance Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Radiance Technologies and has not been reviewed or approved by Radiance Technologies.

  • Retirement Support Retirement contributions are described as generous, combining ESOP ownership with 401(k) profit sharing to build long-term wealth. A defined vesting schedule and recurring contributions reinforce the reliability of this component.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, including medical, dental, vision, life insurance, and disability. Wellness features such as on-site fitness and structured programs further bolster perceived health support.
  • Equity Value & Accessibility Employee ownership via an ESOP is positioned as a meaningful wealth builder, with company stock value growth cited as an upside. Additional vehicles such as cash bonuses and synthetic appreciation rights add to perceived equity value.

Radiance Technologies Insights

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The Company
HQ: Huntsville, AL
905 Employees
Year Founded: 1999

What We Do

Radiance Technologies, Inc. is an employee-owned small business prime contractor. Radiance leads the way in developing government and commercial customer-focused solutions. Leveraging its record of technical innovation and operational expertise, Radiance Technologies offers: • Cyber Solutions • Systems Engineering • Technology Development, Production, Testing, and Evaluation • Technology Application • Intelligence Community Support • Government Program Support The company’s 900+ employees in 15+ U.S. and international offices serve customers in the Department of Defense (DOD), National Aeronautics and Space Administration (NASA), the national intelligence community, the Department of Homeland Security (DHS), other government organizations, and selected commercial customers. Radiance Technologies continues to attract and retain talented motivated employees by being an employee-owned company – founded with the idea of providing an environment, a benefits package, and a stock ownership plan that are second to none. For more information, visit www.radiancetech.com. Radiance Technologies, Inc. – Concepts to Capabilities®

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