Data Analyst, AI/ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the Digital Accessibility Program by leveraging data analytics, artificial intelligence, machine learning, and methodologies for process enhancement.

• Gather, analyze, and interpret data derived from accessibility testing, web crawler outputs, helpdesk activities, service requests, user feedback, and program performance indicators.

• Create and sustain interactive dashboards, KPI reports, and analytics for executive review.

• Determine essential metrics for assessing the performance of the digital accessibility program and suggest strategies to bridge data gaps.

• Design and implement AI and machine learning models to detect patterns, anticipate service demands, and project accessibility trends.

• Develop predictive analytics models to highlight recurring accessibility challenges, testing inadequacies, and operational risks.

• Utilize natural language processing techniques on customer feedback, tickets, and service requests to categorize issues and propose corrective measures.

• Execute trend analysis and statistical modeling to aid in strategic planning and ongoing improvement efforts.

• Collaborate with Program Managers, Accessibility Specialists, and Government stakeholders to convert business requirements into analytical solutions.

• Establish data governance protocols, analytical methodologies, and reporting frameworks.

• Conduct process evaluations and propose efficiency enhancements using recognized industry frameworks.

• Generate Data Analytics Plans, Process Improvement Plans, monthly reports, dashboards, and executive briefings.

• Attend onsite client meetings as needed.

⛳️ Requirements

• A Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related discipline.

• Over 5 years of experience in data analysis, business intelligence, or data science tasks.

• Proficiency in creating data visualizations and dashboards with tools such as Power BI, Tableau, or similar platforms.

• Experience handling large datasets, data integration, and managing data quality.

• Strong understanding of SQL and data extraction techniques.

• Proficient in programming languages such as Python, R, or similar for analytics purposes.

• Experience in statistical analysis, predictive modeling, and forecasting methodologies.

• Strong communication skills to present technical findings to both executive and non-technical stakeholders.

• Eligibility to work in the United States without the need for sponsorship.

• Capability to acquire and uphold a Public Trust.

• Preferred: experience in supporting accessibility initiatives, Section 508 compliance, WCAG, or digital compliance efforts.

• Preferred: experience in developing AI/ML solutions on platforms such as Azure AI, Azure Machine Learning, AWS SageMaker, or equivalent.

• Preferred: experience employing NLP techniques for text analytics, sentiment analysis, classification, and automation.

• Preferred: familiarity with SharePoint, Microsoft Power Platform, and Microsoft 365 analytics solutions.

• Preferred: experience in implementing predictive analytics and AI-driven decision support systems.

🏝️ Benefits

• Comprehensive medical, dental, and vision coverage.

• 401K matching and profit-sharing opportunities.

• Paid time off.

• Dedicated training time for personal development.

• Flexible spending accounts.

• Employer-paid life insurance.

• Employer-funded short- and long-term disability coverage.

• Education assistance program with potential merit increases for obtaining job-related certifications.

• Employee recognition initiatives.

• Referral programs.

• Spot bonuses.

• Additional benefits that contribute to financial security for employees and their families.