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.
Position Overview
DANDIE (Data Acquisition Network for Delivery, Ingestion and Exploitation) is a new program that will serve as the strategic data platform designed to streamline the procurement, onboarding, consumption, and offboarding of CAI / PAI datasets as a reliable enabler of OCO missions. Built on OSS, COTS, and GOTS components and deployed on Kubernetes, DANDIE will support batch, streaming, and QiP cross-domain data workflows and gearing up to become the enterprise data hub for Cyber Command.
In this role, you will evaluate data utility and quality, identify trends and opportunities, and provide actionable insights that inform dataset procurement, onboarding prioritization, and operational usage decisions across DANDIE. You will help determine which datasets actually move the mission—by quantifying utility, quality, and impact.
Key Responsibilities
- Evaluate dataset utility and quality using quantitative and qualitative measures
- Analyze datasets to identify trends, gaps, anomalies, and improvement opportunities
- Partner with the Lead Data Scientist and Metrics Engineer to align measures to mission objectives
- Develop clear narratives and visualizations communicating dataset strengths, weaknesses, and risk
- Provide insights supporting procurement and prioritization decisions (value-to-mission, readiness, cost efficiency)
- Support iterative refinement of metrics and methods based on platform usage and stakeholder feedback
- Contribute to building repeatable evaluation methodologies for new data sources
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field, or equivalent experience
- 4+ years of experience in data science, analytics, or applied measurement roles
- Proficiency in Python and SQL
- Experience with data analysis, visualization, and communicating results to stakeholders
- Ability to translate analytical findings into decision-relevant recommendations
- Strong documentation skills and comfort presenting to mixed audiences
- TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
- U.S. citizenship required
Nice to Have Skills
- Experience with data quality, usage analytics, or KPI frameworks
- Experience with large-scale data platforms or data lakes
- Familiarity with streaming/event data analysis (e.g., time-windowed metrics, near-real-time monitoring).
- Familiarity with structured/semistructured/unstructured data assets
- Experience supporting DoD/IC or regulated environments
- Exposure to metadata/catalog concepts (e.g., lineage, dataset registration, tagging)
- Familiarity with cross-domain data constraints and operational data handling realities
Work Environment
- Government program environment
- U.S. citizenship required
- TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire
- Commute to Herndon, VA or Ft. Meade, MD
- Hybrid schedule with on-site support expected (minimum 2 days per week)
Skills Required
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field, or equivalent experience
- 4+ years of experience in data science, analytics, or applied measurement roles
- Proficiency in Python and SQL
- Experience with data analysis, visualization, and communicating results to stakeholders
- Ability to translate analytical findings into decision-relevant recommendations
- Strong documentation skills and comfort presenting to mixed audiences
- U.S. citizenship required
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.
-
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.
-
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.
-
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.
