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
Skills Required
- Python
- Pandas
- NumPy
- SciPy
- Scikit-learn
- Statistical analysis
- Machine learning
- Predictive modeling
- Classification and 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
Clarity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarity and has not been reviewed or approved by Clarity.
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Fair & Transparent Compensation — Pay is considered strong, with multiple references to “good” or “excellent” compensation. Salary snapshots for engineering and platform roles depict robust pay across multiple seniority levels.
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Healthcare Strength — Benefits include medical, dental, and vision coverage alongside mental‑health support and wellness programs. The breadth of core offerings indicates comprehensive health support for individuals and families.
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Leave & Time Off Breadth — Time‑off provisions cover company holidays, PTO, and defined leaves such as parental, bereavement, and jury duty. This range of leave types supports common personal and family needs.
Clarity Insights
What We Do
Clarity Innovations designs, develops, and deploys force-enhancing software that links human ingenuity to powerful computing and makes our country and our world a better, safer place. Our principles of servant leadership, mutual respect, and technological excellence enable us to thrive on the challenges of the digital frontline. Clarity is focused on helping the Government redefine its relationship with technology by encouraging the use of DevSecOps and Agile methodologies, small-teams constructs, and process automation. To create an atmosphere that embraces the challenges inherent in progress, we honor creativity and curiosity, supporting exploration and growth with modern tech stacks and methodologies. We are as much a family as we are a team, collectively engineering technology that improves the lives and work of the people who use it. We empower our people with the tools, training, and vision they need to outperform the competition.
