Design, develop, and implement statistical and machine learning models to analyze consumer behavior, marketing campaigns, and product performance. Work closely with cross-functional teams (marketing, product, sales, and operations) to identify opportunities for data-driven decision-making. Conduct exploratory data analysis (EDA), hypothesis testing, and advanced predictive analytics to provide actionable insights. Develop and automate dashboards, reports, and data visualizations to monitor KPIs and business health. Apply customer segmentation, recommendation systems, churn analysis, and personalization techniques to improve audience engagement. Stay updated with the latest advancements in data science, marketing technology, and industry trends (music, e-commerce, or digital platforms). Translate complex data findings into clear and actionable business recommendations.