Found Description
Responsibilities:
- Design, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.
- Apply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.
- Build, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.
- Perform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.
- Transition models from exploratory research environments (e.g., notebooks) into production-ready artifacts, including APIs, se...