Applied AI Analyst

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field with 5+ years of experience in advanced analytics or AI roles, or equivalent experience with lower educational qualifications.
• Proven experience in analyzing, testing, and evaluating applied AI/ML models or automated decision-support solutions.
• Proficiency in data manipulation and analytical programming languages such as Python, R, or SQL.
• Experience in creating and maintaining complex technical documentation and analytical findings.
• Strong understanding of data visualization, quality assurance, and workflow integration for complex datasets.

Responsibilities

• Evaluate and validate applied AI models and machine learning pipelines for performance and accuracy.
• Analyze complex data sets to identify actionable insights and trends for customer missions.
• Collaborate with cross-functional teams and stakeholders to define operational requirements and workflows.
• Monitor, test, and document system performance across deployed AI models and platforms.
• Maintain baseline configurations, test documentation, and data artifact libraries for AI capabilities.
• Recommend and implement process improvements to optimize analytic workflows.

Benefits

• Opportunity to work in a dynamic, customer-oriented environment.
• Engagement with cutting-edge AI technologies and methodologies.
• Collaboration with cross-functional teams and industry experts.
• Potential for professional development and growth within the organization.