Data Science Strategies in support of Artificial Intelligence

Auria is in search for a Data Science Strategies in support of Artificial Intelligence in Camp Pendleton, CA area!

This is currently a contingent position

The Marine Corps Tactical Systems Support Activity (MCTSSA) provides 24/7 global technical support for Command, Control, Communications, Computers, Cyber, and Intelligence, Surveillance, and Reconnaissance (C5ISR) systems; and conducts engineering, testing and evaluation, and supports experimentation on C5I systems and amphibious platforms to inform acquisition decisions and make the Fleet Marine Force (FMF) more capable.

This contract will provide Data Management and Cybersecurity services to support the command’s mission of Testing, Engineering, Integration, and Sustainment of the Marine Corps C5ISR Programs of Record.

Salary Range: $140,000 - $165,000

Tasks:

• Conduct data integration.
• Investigate flexible analytics solutions visualization, model building, operational decision-making, and decision capture capabilities.
• Supports the development of secure, rapid building, training, evaluation, debugging, and deployment of AI models across real world and theoretical scenarios.
• Identify portable solutions that can support distributed, vehicle mounted and on-premises use cases.

Minimum Position Requirements:

• Ability to apply Data Scientist expertise through technology processes, methodologies, standards, or frameworks.
• Expertise in applying Data Scientist tools and developing methodologies in an integrated test and/or garrison environment.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience with programming languages such as C, C++, Java, JavaScript, etc.
• Experience working with and creating data architectures.
• Experience using AI/ML learning techniques (large language models, clustering, decision tree learning, artificial neural networks, etc.).
• Experience using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.).
• Active Security Clearance - Secret

Desired Quals:

• Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or related field.
• Knowledge and experience in statistical and data mining techniques.
• Three or more years of experience with distributed data and computing tools.
• Three or more years of experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience visualizing and presenting data for stakeholders.

About Auria

Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO and with operations in Boulder, CO, Washington, DC, Huntsville, AL, Albuquerque, NM, Ogden, UT, and San Diego, CA, our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers’ superiority in Space. With a distinguished track record and a spirit of relentless pursuit, we set the pace for progress and execute every mission with the utmost precision.

When you join Auria as a full-time employee, you get many benefits which include:

• Generous PTO package with yearly tenure increases
• Flex time policy providing you the flexibility needed
• 11 Company-Paid Holidays per year
• Up to 4% match on 401(k) employee contributions, employer and employee contributions immediately vested
• Tuition and Certification Fee Assistance
• Low-cost medical plans that include company-sponsored HSA
• No-cost life insurance
• Employee Assistance Program (EAP)
• And much more!

Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class.