Sr. Analyst AI

Shenandoah Telecommunications Company • Lancaster, PA

2d

About The Position

AI Analyst is responsible for providing analytical, training and testing support for AI projects. This role involves understanding problems to solve with AI, defining AI inputs, defining testing or training programs, preparing data and working with Shentel’s data warehouse for preparing data sets for AI use.

Requirements

• An associate's degree in computer science, data science, data engineering, information systems, mathematics or related field; bachelor's degree preferred
• A minimum of seven years of experience in systems analysis, analytics engineering, test engineering, data engineering or related technical field
• Proficiency in advanced analysis including defining workflow models, drafting system requirements and functional requirements, defining data sets needed for AI models and programs.
• Advanced understanding of data warehouse concepts and modern enterprise data architectures
• Advanced understanding of test methodology, building test plans and testing automation
• Experience with AI Models and AI development
• Expertise in BI platforms (e.g., Power BI, Tableau, Alteryx)
• Experience with cloud platforms (e.g., AWS, Azure)

Responsibilities

• Assist in designing and implementing machine learning models and AI algorithms.
• Documents AI model requirements.
• Perform exploratory data analysis to validate assumptions and inform decisions.
• Create test plans and define objectives for AI systems.
• Select appropriate testing methods and identify test scenarios.
• Perform functional, regression, performance, and usability testing.
• Collaborate with developers and data scientists to resolve issues.
• Conduct non-deterministic tests for models that evolve over time.
• Detect and document flaws, inconsistencies, or biases in AI models.
• Validate the quality and relevance of training and testing datasets.
• Ensure compliance with ethical and bias standards.
• Test AI systems for transparency and interpretability.
• Verify adherence to security, privacy, and regulatory requirements.
• Maintain clear records of test methods, results, and recommendations for stakeholders.
• Maintain technical documentation for data pipelines, transformation logic and data mart designs
• Prepare domain-oriented datasets and feature stores for AI and ML, predictive modeling and other use cases

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree
• Number of Employees: 501-1,000 employees