Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
Years of hands-on experience in developing and deploying optimization solutions
5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods