Senior Data Scientist - Forecasting

Senior Data Scientist – ForecastingTiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.Key ResponsibilitiesDesign, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETSBuild machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBMDevelop hierarchical and multi-level forecasting solutions across products, regions, and channelsPerform large-scale data extraction, transformation, and analysis using SQLPartner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.Translate business problems into analytical solutions.Present model insights and recommendations to senior client stakeholders.Lead workshops and forecasting strategy discussions with clients.Implement and operationalize models in cloud environmentsCollaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions