Job Responsibilities
- Build and maintain statistical forecasting models using R, Python, and GCP to improve 18-month demand forecast accuracy
- Manage forecast and pricing data in SAP IBP, ensuring accuracy and alignment with business needs
- Work with Marketing and other stakeholders to build and refine demand models using internal and external data
- Build and deploy machine learning solutions to automate planning and boost efficiency
- Mine large structured and unstructured datasets for trends, risks, and business opportunities
- Turn complex business problems into scalable analytical solutions through creative, data-driven problem-solving
- Build dashboards and reports (e.g., in Power BI) to communicate insights and support decision-making
- Continuously refine forecasting methods and planning tools to drive measurable business impact
- Partner with Demand Planning, Supply Chain, Commercial, and IT teams to embed analytical best practices org-wide
Job Requirements
- Bachelor's or Master's in Statistics, Mathematics, Data Science, Computer Science, or related field
- 2+ years building analytical solutions in Python
- 2+ years in time series forecasting (univariate, multivariate, ensemble methods)
- 2+ years working with databases (SQL or similar) - data modeling, querying, management
- 1+ year working in a cloud environment (GCP, AWS, or Azure)
- 2+ years building dashboards/visualizations in Power BI or similar BI tools
- Preferred: experience applying ML/predictive analytics to supply chain, demand planning, or similar
- Nice to have: experience with SAP IBP or other advanced planning systems
We regret that only shortlisted candidates will be notified.
Interested applicants kindly click on apply now or send your updated resume to berlyn.lum@peopleprofilers.com .
Contact No: 6950 9731
Berlyn Lum Miao Yu
Registration Number: R1766577
EA License Number: 02C4944
People Profilers Pte Ltd, 20 Cecil St, #08-09, PLUS Building, Singapore 049705
http://www.peopleprofilers.com
