Data Scientist at Clarity Innovations, LLC

<div class="content-intro"><p>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.</p> <p>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.</p> <p>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.</p></div><p><strong>Position Overview</strong></p> <p><span style="font-weight: 400;">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.</span></p> <p><span style="font-weight: 400;">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.</span></p> <p><strong>Key Responsibilities</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Evaluate dataset utility and quality using quantitative and qualitative measures</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Analyze datasets to identify trends, gaps, anomalies, and improvement opportunities</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Partner with the Lead Data Scientist and Metrics Engineer to align measures to mission objectives</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Develop clear narratives and visualizations communicating dataset strengths, weaknesses, and risk</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Provide insights supporting procurement and prioritization decisions (value-to-mission, readiness, cost efficiency)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Support iterative refinement of metrics and methods based on platform usage and stakeholder feedback</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Contribute to building repeatable evaluation methodologies for new data sources</span></li> </ul> <p><strong>Minimum Qualifications</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field, or equivalent experience</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">4+ years of experience in data science, analytics, or applied measurement roles</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Proficiency in Python and SQL</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with data analysis, visualization, and communicating results to stakeholders</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to translate analytical findings into decision-relevant recommendations</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strong documentation skills and comfort presenting to mixed audiences</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">U.S. citizenship required</span></li> </ul> <p><strong>Nice to Have Skills</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with data quality, usage analytics, or KPI frameworks</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with large-scale data platforms or data lakes</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with streaming/event data analysis (e.g., time-windowed metrics, near-real-time monitoring).</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with structured/semistructured/unstructured data assets</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience supporting DoD/IC or regulated environments</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Exposure to metadata/catalog concepts (e.g., lineage, dataset registration, tagging)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Familiarity with cross-domain data constraints and operational data handling realities</span></li> </ul> <p><strong>Work Environment</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Government program environment</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">U.S. citizenship required</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">TS/SCI with CI Poly preferred; must be eligible to obtain TS/SCI with CI Poly within 6 months of hire</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Commute to Herndon, VA or Ft. Meade, MD</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Hybrid schedule with on-site support expected (minimum 2 days per week)</span></li> </ul><div class="content-conclusion"><p></p> <div class="c-message_kit__gutter"> <div class="c-message_kit__gutter__right" data-qa="message_content"> <div class="c-message_kit__blocks c-message_kit__blocks--rich_text"> <div class="c-message__message_blocks c-message__message_blocks--rich_text" data-qa="message-text"> <div class="p-block_kit_renderer" data-qa="block-kit-renderer"> <div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"> <div class="p-rich_text_block"> <div class="p-rich_text_section">We are 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 veteran status.</div> </div> </div> </div> </div> </div> </div> </div></div>