STINGRAI Automation Data Scientist - 29486

HII's Mission Technologies division•Mclean, VA

2d•$103,467 - $220,000•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. Summary HII-Mission Technologies is seeking a versatile Data Scientist / Power Platform Developer who will blend advanced analytics with low‑code automation to support business operations and decision‑making. This role uses data modeling, machine learning, and Microsoft Power Platform solutions to deliver insights, automate workflows, and create scalable applications for stakeholders across the organization. This requisition supports hiring at multiple experience levels. Final placement will be determined based on the selected applicant’s qualifications, experience, and skill sets.

Requirements

Level 3: 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in realted 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.
Hands-on experience with Python or R for data modeling, machine learning, and data manipulation
Strong knowledge of SQL and relational databases
Proficiency building solutions within the Microsoft Power Platform (Power Apps, Power Automate, Power BI)
Experience with data visualization and reporting strategies
Ability to integrate business requirements into practical analytical or automation solutions
Strong problem‑solving abilities and analytical thinking
Excellent communication skills—able to explain technical topics to non‑technical audiences
Clearance: Ability to obtain and maintain a Secret clearance or higher

Nice To Haves

Clearance: Posses and maintains a Top Secret clearance.

Responsibilities

Collect, process, and analyze structured and unstructured datasets from various sources
Develop, validate, and refine predictive models and machine‑learning algorithms
Build dashboards, visualizations, and reports that communicate insights to leadership
Conduct statistical analysis, design experiments, and evaluate model performance
Partner with business units to identify data‑driven opportunities or pain points
Deploy models into production and maintain ongoing monitoring of performance
Translate complex data concepts into clear, actionable recommendations
Design, build, and maintain Power Apps to support business processes and user needs
Create automated workflows using Power Automate to streamline operations and reduce manual effort
Develop interactive dashboards and data visualizations using Power BI
Integrate applications with data sources (Dataverse, SharePoint, SQL, APIs)
Implement governance, security roles, and best practices for Power Platform environments
Troubleshoot app issues, optimize performance, and support end users
Collaborate with stakeholders to gather requirements and prototype solutions quickly
Document system configurations, workflows, and development standards