
Demand Forecasting Solutions Specialist
6 days ago
Job Overview:
We are modernizing our demand forecasting capabilities through an enterprise-grade machine learning platform.
Seeking a highly skilled Senior Data Scientist/ML Engineer to design and operationalize advanced forecasting solutions at scale.
This role blends hands-on machine learning with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.
- Key Responsibilities:
- Design, build, and deploy production-grade forecasting models
- Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
- Build probabilistic models to quantify forecast uncertainty
- Write clean, modular, object-oriented code following best practices
- Implement MLOps best practices including model versioning, monitoring, and CI/CD
- Work with distributed training frameworks for scalable model development
- Collaborate with cross-functional teams (engineering, product, strategy) to align solutions with business needs
- Work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing
About Our Company:
- We are disrupting the supply chain planning industry with AI-driven demand planning and inventory replenishment software.
- Targeting the rapidly growing segment of the supply chain management (SCM) industry: small and medium-sized businesses (SMBs).
- SMBs now have access to technological advantages previously exclusive to large enterprise companies like Walmart, Amazon, Lowe's, and Home Depot.
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