Global Demand Expert & Data Scientist
TE Connectivity (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical roadmap and architecture for AI-driven Global Demand Management and SAP IBP solutions focusing on demand forecasting and integration.
- Design, deploy, and optimize machine learning models specifically for demand forecasting, segmentation, anomaly detection, and predictive insights within SAP IBP.
- Establish governance standards for AI and SAP IBP initiatives ensuring explainability, reproducibility, sustainability, and measure adoption impact on forecast accuracy and planner productivity.
Minimum Requirements
- Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or related field.
- 6+ years of professional experience in machine learning, deep learning, or applied data science with strong Python and ML/DL framework skills (TensorFlow, PyTorch, Scikit-learn).
- Hands-on expertise with SAP IBP for Demand including forecasting, planning data, analytics, and workflow integration.
- Experience with demand forecasting techniques including time-series modeling, transformers, RNNs/LSTMs, and knowledge of MLOps, cloud platforms, and AI governance.
Ideal Candidate Profile
- Experienced in translating complex demand-management requirements into scalable AI and SAP IBP solutions with measurable business outcomes.
- Demonstrates strong technical leadership integrating advanced ML models within SAP IBP environments to improve forecast accuracy and planner decision support.
- Deep domain expertise in demand forecasting, time-series analysis, and practical application of responsible AI principles including explainability and validation.