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The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech).Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry.GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Onsite support to Navy customer; COMNAVSURFPAC N9 for the CHART database program.
Location; San Diego, CA

The Systems Engineer oversees and coordinates the work of technical teams on systems projects, ensuring the successful design, implementation, operation, and technical management of those projects. Taking a holistic approach to systems engineering, the Systems Engineer ensures that all aspects of a system project are considered and addressed. The Systems Engineer works closely with stakeholders to understand their needs and then develops and documents technical requirements that meet those needs. The Systems Engineer leads the design team in developing a system architecture that meets all of the requirements. After the system is designed, the Systems Engineer oversees the implementation of the system, working with the implementation team to ensure that it meets all of the requirements. Once the system is deployed, the Systems Engineer manages the technical aspects of the system, including monitoring performance, troubleshooting problems, and making improvements.

• Create product or system definitions and conduct initial requirements analysis
• Contribute to technical reports and diagrams detailing product or system attributes
• Analyze product or system functionality as defined by requirements
• Interface with and begin to work with disparate engineering teams for technical tasking

* Engineer efforts to mature data platform to enable better use of the data for Data Science (DS) needs;
* Develop strategies for the integration of Artificial Intelligence (AI) to include Machine Learning (ML) in projects across business, readiness, and defense domains;
* Participate in the development of data governance working groups;
* Provide data and analytical technical support across IPT efforts;
* Assist CNSP to construct AI programs, establish and grow partnerships, and gain awareness of other data solutions;
* Guide the use of data visualization techniques to articulate decisional impact from datasets;
* Develop integrated data models using DoD and industry best practices that align with business and mission requirements;
* Collaborate proactively with key Data and AI constituents to source, organize, maintain and democratize data and policies related to projects and programs;
* Create new processes and procedures to overlay complex business concepts and requirements from sponsors/clients with the technical details needed to extract actionable decision intelligence.

• Skillset to include interfacing with JUPITER/ADVANA/MAVEN SMART SYSTEMS and using other DON/DOD/Federal specified environments and tools. * Knowledge of Data Analysis concepts and methodologies to effectively enable Department of Defense (DOD) Decision making. * Skills using Data Science and Analysis tools, innovative technologies and affordable techniques that efficiently transform internal and external raw data into actionable intelligence. * Ability to present actionable intelligence in a unified, semantic view for analysis and reporting purposes. * Ability to achieve an optimal outcome through the application of design thinking concepts. * Ability to analyze and define data requirements and specifications required to deliver optimal output to customer.

• Active Secret Clearance
• Knowledge of Data Science and Machine Learning/Artificial Intelligence concepts and algorithms to ensure data-centric problems are solved effectively and efficiently
• Knowledge of Data Science and Artificial Intelligence DoD level policies and guidance.