Data Science Strategies in support of Artificial Intelligence (AI) (Architect)

$83,200 - $83,200/Yr

Elyon International - Camp Pendleton, CA

Full-time - Mid Level

Camp Pendleton, CA

Professional, Scientific, and Technical Services

About the position

The Data Science Strategies in support of Artificial Intelligence (AI) (Architect) role involves leveraging data science expertise to develop and implement AI models and analytics solutions. The position focuses on data integration, model building, and operational decision-making to support various use cases, including distributed and vehicle-mounted applications.

Responsibilities

• Conduct data integration.
• Investigate flexible analytics solutions visualization, model building, operational decision-making, and decision capture capabilities.
• Support 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.

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, SQL, 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 Secret clearance is required; Top Secret is desired.

Nice-to-haves

• 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.

Benefits

• Paid sick leave
• Medical/Dental (optional)
• 401 (k) Retirement Plan (optional)
• Employer Paid Life Insurance
• Employer Paid Short Term Disability
• Optional Life Insurance