Senior Data Scientist

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Location, WV, USA
In-Office or Remote
Senior level
Aerospace
The Role
Lead design, development, validation, and deployment of ML/AI solutions for CBP's Advanced Trade Analytics Platform. Conduct applied research on large structured and unstructured datasets, build statistical and predictive models, validate models, produce dashboards and briefings, mentor staff, advise leadership, and support Agile cross-functional delivery for mission-critical trade enforcement analytics.
Summary Generated by Built In

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.

Skills Required

  • Master's degree or Ph.D. in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, AI, ML, or related quantitative discipline
  • Ten years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines
  • Seven 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
  • Expertise in machine learning, AI, statistical modeling, and data mining; strong model validation and evaluation skills
  • Strong communication, leadership, mentoring, consulting, and problem-solving skills
  • Active Top Secret security clearance and ability to obtain/maintain access to DHS and CBP systems and facilities
  • Experience with NLP, LLMs, RAG, Explainable AI, and MLOps
  • Experience with Databricks, Spark, AWS GovCloud, Azure Government, and cloud-native analytics platforms
  • Familiarity with Python, SQL, R, TensorFlow, PyTorch, Scikit-Learn, Power BI, Tableau, and 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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