Data Scientist

By Light HQ • Orlando, FL

30d • Onsite

About The Position

This position is full time on site in Orlando, FL. Responsibilities Lead the development and implementation of advanced data science models to extract actionable insights from complex, high-volume datasets across cyber and multi-domain training environments. Implements solutions to collect, analyze and interpret extremely large data sets. Tracks emerging data analytics tools, processes, and solutions and recommends approaches to maintain mission relevance. Supports the evaluation of customer requirements to understand the desired outcomes of the data analytics process. Architect and refine machine learning and statistical modeling strategies that directly support mission-critical decision-making and readiness assessment. Translate operational goals and mission needs into scalable data science solutions by leveraging expertise in mathematics, AI, and computer science. Drive innovation by evaluating and integrating emerging technologies (e.g., neural networks, NLP, anomaly detection) into existing data workflows and architectures. Partner cross-functionally with engineering, IT, and cyber operations to embed data-driven practices and ensure analytics align with evolving system capabilities. Mentor analysts and data professionals in best practices for feature engineering, model validation, data governance, and performance monitoring. Lead end-to-end ownership of data projects—from concept through deployment—ensuring deliverables meet technical and strategic requirements. Develop clear, compelling data visualizations and narratives to communicate insights to technical and non-technical stakeholders, including senior leadership. Champion a culture of data excellence, supporting AGILE synchronization efforts and contributing to enterprise-level knowledge management frameworks. Actively contribute to proposal development, talent acquisition strategy, and cross-domain integration to strengthen the organization’s data science capabilities.

Requirements

• A Bachelor's Degree in a Computer Science/Mathematics related field.
• IAT Level 2 certification in accordance with DoD 8570.01.
• 5+ years of relevant experience in machine learning, data science, programming, or statistical analysis.
• Exceptional knowledge of computer applications (SAP, Optiva, SQL server, MS Word, MS Excel, MS PowerPoint, Adobe Acrobat, MS Project, Visio, etc.)
• Demonstrated understanding and applications of Agile planning tools such as Jira and Confluence
• Proactively anticipate and business requirements and issues by having a strong pulse on the documentation, synchronization and embolden AGILE across the organization
• Strong project management skills with ability to proactively prioritize and coordinate complex projects.
• An ability to work in a fast-paced and dynamic workplace with unique TTPs.
• Exceptional communication and organizational skills with strong ability to translate business needs into IT execution.
• Exceptional willingness and propensity for collaboration, relationship & team building.
• Excellent interpersonal communication skills.
• Ability to travel up to 10% both CONUS and OCONUS.

Nice To Haves

• A Masters or PhD degree in a Computer Science/Mathematics related field.
• 3+ years of management or technical supervision desired but not required.
• IAT Level 3 certification.
• Current CI polygraph.

Responsibilities

• Lead the development and implementation of advanced data science models to extract actionable insights from complex, high-volume datasets across cyber and multi-domain training environments.
• Implements solutions to collect, analyze and interpret extremely large data sets.
• Tracks emerging data analytics tools, processes, and solutions and recommends approaches to maintain mission relevance.
• Supports the evaluation of customer requirements to understand the desired outcomes of the data analytics process.
• Architect and refine machine learning and statistical modeling strategies that directly support mission-critical decision-making and readiness assessment.
• Translate operational goals and mission needs into scalable data science solutions by leveraging expertise in mathematics, AI, and computer science.
• Drive innovation by evaluating and integrating emerging technologies (e.g., neural networks, NLP, anomaly detection) into existing data workflows and architectures.
• Partner cross-functionally with engineering, IT, and cyber operations to embed data-driven practices and ensure analytics align with evolving system capabilities.
• Mentor analysts and data professionals in best practices for feature engineering, model validation, data governance, and performance monitoring.
• Lead end-to-end ownership of data projects—from concept through deployment—ensuring deliverables meet technical and strategic requirements.
• Develop clear, compelling data visualizations and narratives to communicate insights to technical and non-technical stakeholders, including senior leadership.
• Champion a culture of data excellence, supporting AGILE synchronization efforts and contributing to enterprise-level knowledge management frameworks.
• Actively contribute to proposal development, talent acquisition strategy, and cross-domain integration to strengthen the organization’s data science capabilities.

Benefits

• Medical, Dental & Vision Coverage
• Wellness Program
• 401(k) Matching
• Disability (Short Term & Long Term)
• Employee Assistance Program
• Life Insurance
• Education & Training
• Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level