STINGRAI Data Analyst (Data Scientist 3) - 29224

HII's Mission Technologies division•Washington, DC

2d•$118,987 - $205,000•Onsite

About The Position

This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII – Mission Technologies Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Who We Are HII – Mission Technologies is seeking a Data Analyst. The Data Analyst provides critical, timely, and data‑driven insights to support decision‑making processes and strengthen defenses against supply chain vulnerabilities and adversarial threats to industry IT systems. This role delivers advanced analytics that support the identification of risks, trends, and emerging threat patterns while enabling stakeholders to make informed, strategic decisions. The analyst processes and integrates structured and unstructured data to identify patterns, trends, correlations, and anomalies. Using advanced data science methodologies, the analyst supports entity extraction, disambiguation, visualization, COP/CIP solutions, and other data‑related analytic functions. This position works closely with customers to understand analytical problem sets, emerging threat vectors, and mission needs, applying quantitative and qualitative techniques to develop improved capabilities and solve complex challenges. This requisition supports hiring at multiple experience levels. Final placement will be determined based on the selected applicant’s qualifications, experience, and skill sets. STINGRAI: Advancing Mission Success Through Intelligence, Innovation, and Operational Excellence Every day, HII helps U.S. Southern Command (SOUTHCOM) and its mission partners stay ahead of evolving threats by delivering the intelligence, technology, and operational expertise needed to protect U.S. interests across the Western Hemisphere. Join our team on STINGRAI and support mission-critical operations through advanced intelligence, surveillance, cyber, engineering, and all-domain capabilities that strengthen regional security, enable informed decision-making, and help defend our nation today while preparing for tomorrow's challenges.

Requirements

Level 3: 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
Level 4: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
Level 5: 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.
Experience analyzing structured and unstructured datasets.
Proficiency with analytical tools and platforms (examples provided on request).
Ability to develop visualizations and dashboards that effectively convey analytical results.
Experience applying data science concepts such as pattern analysis, anomaly detection, and correlation analysis.
Strong problem‑solving skills and ability to identify emerging analytical challenges and threat trends.
Strong written and verbal communication skills, including the ability to translate complex data into clear insights.
Ability to work independently and collaboratively in a fast‑paced, mission‑driven environment.
Must possess and maintain a Top-Secret clearance.

Nice To Haves

Understanding of supply chain risk, cyber threats, or IT system vulnerabilities (desired but can be trained).

Responsibilities

Provide timely and accurate data analytics, metrics, and insights to support data‑driven decision‑making and mitigate supply chain risks.
Analyze structured and unstructured data to identify patterns, trends, correlations, and anomalies.
Support entity extraction, disambiguation, and data transformation using advanced analytical tools and methodologies.
Develop data visualization products and dashboards to convey complex analytical findings in clear, actionable formats.
Contribute to Common Operating Picture (COP) and Critical Infrastructure Protection (CIP) solutions through data integration and visualization.
Identify analytical problem sets, emerging threat trends, and stakeholder requirements for enhanced capabilities.
Apply data science skill sets to develop analytical solutions that address customer needs and mission priorities.
Conduct risk assessments related to supply chain vulnerabilities and adversarial threats targeting industry IT systems.
Collaborate with customers and cross‑functional teams to refine requirements and deliver mission‑focused analytic support.
Ensure high‑quality, accurate, and well‑documented analysis in all outputs.