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
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 ResponsibilitiesDemand 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.
Top Skills
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains.
Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence.
We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities.
Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices.
We are working with our clients across Middle East and Africa Region.
