Manager Forecasting, Data Science

Our well-known luxury brand client is adding a Manager Data Science, Forecasting to their team. This role will be involved in developing and maintaining accurate, scalable forecasting solutions that drive strategic and operational decision-making across the organization. This role will own end-to-end forecasting processes across multiple time horizons, brands, channels, and regions. Candidates must have extensive forecasting experience, preferably in a retail setting What you will be doing Design, develop, and maintain a comprehensive suite of retail forecasts for supply chain, sales, and customer traffic among others. Build and deploy forecasting models using time series analysis, regression techniques, and machine learning algorithms. Develop tools and frameworks to enable ad-hoc forecast updates, integrate user feedback, and incorporate outputs from other models. Analyze large-scale datasets to uncover trends, seasonality, and external drivers such as promotions, economic indicators, weather, and competitive activity. Integrate product lifecycle stages, promotional campaigns, and macroeconomic variables into forecasting models. Communicate forecast insights and recommendations effectively to both technical and non-technical audiences, including senior leadership. Document forecasting methodologies and maintain version control; leverage model and feature stores to ensure enterprise-wide accessibility. What you bring to the table Bachelor's degree in Statistics, Economics, Data Science, Applied Mathematics, or a related quantitative field (Master's or PhD preferred). 3-5 years of demonstrated experience in retail forecasting, demand planning, or a similar analytics-focused role. Proficiency in Python and advanced SQL; experience with forecasting libraries and platforms (e.g., Prophet, scikit-learn). Familiarity with cloud-based forecasting services (e.g., AWS Forecast) and multi-environment cloud architectures. Experience with modern Machine Learning Operations and tools for Code, Model and Data versioning and governance. Strong communication skills with the ability to translate complex analytical concepts for non-technical stakeholders. Knowledge of retail operations, merchandising, and supply chain processes is a plus. This is a full-time, direct hire role with excellent compensation and growth opportunities. Hybrid work environment. J-18808-Ljbffr