Sr. Analyst AI

Shentel • Edinburg, VA

25d

About The Position

Shenandoah Telecommunications Company (“Shentel”) specializes in providing High-Speed Internet and other telecommunications services to customers in the Mid-Atlantic United States. We focus on rural communities, which are often overlooked by larger companies. The Shentel family of brands includes: Shentel: Provides traditional cable Internet services for small towns and rural communities. Glo Fiber: Delivers fiber-optic Internet for customers in larger cities, as a competitor to incumbent providers. Shentel Business and Glo Fiber Business: Offers small, medium and large-scale telecommunication services for businesses and enterprises in our areas. We live and work in the same places as the customers we serve, and we are proud to support our local communities. For more information, please visit www.shentel.com.
Job Summary:
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