Job Title: Senior AI Analyst

Location: GA

Department: Data Science / Artificial Intelligence

Reports To: AI/ML Lead or Head of Data Science

Position Overview

We are looking for a highly skilled Senior AI Analyst to lead the analysis, design, and implementation of AI-driven solutions that enhance business operations and decision-making. The ideal candidate will possess strong analytical expertise, experience with machine learning models, and a deep understanding of data interpretation and automation strategies.

Key Responsibilities

• Analyze complex business problems and identify opportunities to apply AI and machine learning techniques.
• Design, develop, and deploy predictive models, natural language processing (NLP), and computer vision solutions.
• Collaborate with data engineers, data scientists, and business stakeholders to translate data insights into actionable strategies.
• Evaluate the performance of AI systems, ensuring accuracy, scalability, and ethical compliance.
• Build and maintain data pipelines to support AI model training and inference.
• Utilize statistical methods and advanced analytics to interpret trends, patterns, and correlations within large datasets.
• Present insights and recommendations to senior leadership using visualization tools and storytelling techniques.
• Stay current with emerging AI tools, frameworks, and technologies to continuously improve organizational AI capabilities.
• Mentor junior analysts and contribute to the development of AI best practices across teams.
  
  

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field.
• 58 years of experience in AI, data analytics, or machine learning roles.
• Strong proficiency in Python, R, or similar analytical languages.
• Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of data visualization tools (e.g., Power BI, Tableau, or Matplotlib).
• Proven experience in handling large-scale datasets and data pipelines.
• Strong communication skills and ability to translate technical results into business insights.
  
  

Preferred Qualifications

• Experience with cloud-based AI platforms (AWS SageMaker, Google Vertex AI, Azure ML).
• Knowledge of NLP, generative AI, or deep learning architectures.
• Familiarity with MLOps tools for model deployment and lifecycle management.
• Certification in AI or Data Analytics (e.g., Google Cloud AI Engineer, Microsoft AI Fundamentals).
  
  

Key Competencies

• Analytical & Critical Thinking
• Problem-Solving & Innovation
• Collaboration & Stakeholder Management
• Business Acumen
• Continuous Learning