STINGRAI Data Scientist (Data Scientist 2) - 29227 Jobs

Data Scientist

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.

HII
- Mission Technologies is seeking a Data Scientist. The Data Scientist provides advanced analytic, data-science, and data-engineering support to identify, coordinate, harvest, and expose relevant data sources in support of mission-partner data-integration requirements. This role develops and applies quality and confidence methodologies to ensure that newly acquired data is properly processed, validated, and optimized for downstream analytical use. The Data Scientist contributes to the design and refinement of analytical techniques, supports schema development, and ensures that new data sources are properly aligned to evolving data architectures.

The position also conducts long-term data and trend analysis to identify systemic vulnerabilities and high-priority threats, informing strategies to mitigate supply chain risks and enhance mission resilience. Additional responsibilities include recommending best practices for the implementation of artificial intelligence (AI) and machine learning (ML) capabilities.

Minimum Qualifications:

• Level 2: 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
• 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 harvesting, validating, structuring, and integrating diverse data sources, including structured and unstructured data.
• Strong understanding of data-quality assessment methods, confidence metrics, and preprocessing techniques.
• Experience developing or optimizing analytical techniques and applying statistical or machine-learning methods to extract insights.
• Familiarity with data-schema design, data modeling, and integration architectures.
• Ability to conduct long-term trend and vulnerability analysis to identify systemic risks.
• Understanding of supply chain vulnerabilities, threat identification, risk assessment, or similar mission areas (preferred but can be trained).
• Working knowledge of AI/ML concepts, implementation best practices, and model evaluation.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication abilities, with experience translating technical findings into actionable insights for non-technical audiences.
• Ability to work both independently and collaboratively in a fast-paced, mission-focused environment.
• Clearance:
  Must possess and maintain a Top-Secret clearance.