• Bachelor’s or postgraduate degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related field.
• 7+ years of experience in Applied AI, Data Science, Decision Science, Product Analytics, Business Analytics, Customer Analytics, Forecasting, or intelligent analytics platform development.
• Experience in exploratory data analysis, experimentation, A/B testing, hypothesis validation, cohort analysis, funnel analysis, customer segmentation, forecasting, behavioral analytics, and customer lifecycle analytics.
• Strong programming and analytical skills using Python, SQL, and modern data platforms for large scale data analysis.
• Experience working with structured and unstructured datasets, including voice transcripts, chat conversations, customer interactions, and other textbased data sources.
• Experience leveraging GenAI tools such as Claude, Copilot, or similar AI platforms to accelerate analysis and insight generation.
• Experience developing reusable AI skills, workflows, or analytics solutions that enhance decision-making.
• Strong datadriven approach with the ability to analyze complex datasets, derive insights, and translate them into actionable business improvements.
• Proven ability to identify customer problems and translate insights into practical, scalable solutions.
• Strong understanding of customer lifecycle metrics including acquisition, conversion, retention, renewal, migration, churn/cancellation, and revenue optimization.
• Strong communication and storytelling skills with the ability to influence business decisions through data.
• Demonstrated thought leadership in Decision Science, Analytics, and AI to drive scalable business impact.