Sr. Principal Data Scientist

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.

We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.

Role Description:

The Data Scientist will apply statistical, analytical, and machine-learning techniques to improve decision-support workflows and the performance of AI-enabled capabilities. The Data Scientist will analyze operational data, identify opportunities for automation and decision support, develop analytical models and evaluation methodologies, and help establish measurable performance indicators for delivered capabilities.

The role will work closely with the AI/ML Architect and AI/ML Engineer to evaluate model and agent performance, develop datasets and test cases, analyze user feedback and system behavior, and identify opportunities to improve AI outputs. The Data Scientist will also support institutional knowledge and information-synthesis capabilities.

Technical Skills:

• Python


• Pandas


• NumPy


• SciPy


• Scikit-learn


• Statistical analysis


• Machine learning


• Predictive modeling


• Classification/clustering


• Natural language processing


• LLM evaluation


• Data visualization


• Jupyter


• SQL


• Feature engineering


• Experimental design


• Model evaluation


• A/B testing


• Data quality analysis


• Time-series analysis


• AI performance metrics

Salary Range: $139,000 - $314,000