Apply on Employer Site

Shentel · 1 day ago

Sr. Analyst AI

Weston, WV

Full-time

Onsite

Senior Level

7+ years exp

Shentel specializes in providing high-speed internet and telecommunications services to rural communities in the Mid-Atlantic United States. The AI Analyst role is responsible for providing analytical, training, and testing support for AI projects, including designing machine learning models and ensuring compliance with ethical standards.

Telecommunications

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

Qualification

AI ModelsData Warehouse ConceptsTest MethodologyBI PlatformsCloud PlatformsAdvanced AnalysisData Engineering

Required

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)