Expert Data Scientist

Job Title: Expert Data Scientist – Demand Planning & Forecasting (Machine Learning) Project: Demand Planning ML Models Initiative Role Level: Expert / Principal (Hands-on, Delivery-Focused) Employment Type: Full-Time Experience: 7+ Years Job Location: Remote Job Timing: Vietnam Time Zone Role Overview We are seeking an Expert Data Scientist with deep hands-on experience in machine learning–based demand forecasting to support the ANZ Demand Planning ML Models initiative . This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models. Key Responsibilities Demand Planning & Forecasting (Core Focus) Lead the design, development, and optimization of ML-based demand forecasting models . Work extensively with time-series datasets related to sales, demand, and supply planning . Apply and optimize statistical forecasting techniques and machine learning algorithms . Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers. Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy. Data Science Leadership & Delivery Own the end-to-end data science lifecycle , from data exploration and model development to deployment support. Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE . Review, validate, and refine forecasting methodologies to ensure accuracy and scalability. Clearly communicate model logic, assumptions, and insights to business and executive stakeholders. Collaboration & Execution Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models. Support production deployment, monitoring, and model performance improvements . Drive knowledge sharing and best practices in forecasting and machine learning across teams. Required Experience 7+ years of experience in Data Science / Machine Learning . 5+ years of hands-on experience in demand forecasting or demand planning using machine learning . Proven experience delivering production-grade or business-critical forecasting models . Strong experience working with enterprise-scale time-series datasets . Technical Skills Advanced Python for Data Science and Machine Learning . Strong expertise in time-series forecasting techniques (statistical and ML-based). Experience with machine learning models such as regression, tree-based models, and ensemble methods . Advanced feature engineering for demand and planning datasets . Strong SQL and data manipulation capabilities. Experience with forecast evaluation metrics (MAPE, RMSE, MAE) . Soft Skills Strong ownership and accountability mindset . Excellent analytical and problem-solving capabilities . Ability to communicate complex technical concepts to non-technical stakeholders . Comfortable working in fast-paced environments with tight delivery timelines .