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.