
Senior Supply Chain Analytics Specialist
7 days ago
We are revolutionizing the field of supply chain planning by leveraging cutting-edge AI-driven demand planning and inventory replenishment software.
- Responsibilities:
- Design, build, and deploy production-grade forecasting models using machine learning algorithms.
- Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
- Build probabilistic models to quantify forecast uncertainty and drive business decisions.
- Write clean, modular, object-oriented code following best practices and ensure scalability.
- Implement MLOps best practices including model versioning, monitoring, and CI/CD.
- Work with distributed training frameworks for scalable model development and collaborate with cross-functional teams.
- Drive innovation in cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing.
Experience:
- 3-6 years of relevant experience in Data Science / ML Engineering.
- Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn.
- Hands-on experience with deep learning frameworks (preferably PyTorch).
- Experience with distributed training and large-scale datasets.
- Proven ability to build scalable, production-grade ML pipelines.
- Strong understanding of statistical modeling, regression, and time series.
- Experience working in cloud environments (Databricks, AWS, GCP).
Education: MS or BS in CS or related from a top university.
BenefitsWhat You'll Gain:
- Opportunity to work on cutting-edge AI-driven demand planning and inventory replenishment software.
- Collaborative environment with experienced professionals in the field.
- Professional growth and development through continuous learning and skill-building.
- Competitive compensation and benefits package.
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