Role overview
**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