• Machine Learning & Gen AI • Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement. • Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences. • Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce. • Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures. • Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines. • Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions. • Digital Analytics Ecosystem • Serve as an advanced analytics subject matter expert (SME) for the broader analytics team. • Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies. • Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics. • Ensure data integrity and a single source of truth; collaborate with Data Engineers to develop scalable solutions. • Stay abreast of emerging trends in Gen AI, ML, and digital analytics, and share best practices with the team.