Global Demand Expert & Data Scientist

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

• Define the technical roadmap for Global Demand Management AI initiatives and SAP IBP capabilities.

• Architect end-to-end AI and SAP IBP solutions supporting demand forecasting, data integration, model deployment, and monitoring.

• Provide technical leadership across demand analytics, AI modeling, experimentation, and SAP IBP solution development.

• Establish standards for AI and SAP IBP governance, explainability, reproducibility, documentation, and sustainable adoption.

• Design and deploy machine learning models for demand forecasting, segmentation, anomaly detection, and predictive insights within SAP IBP.

• Apply feature engineering, model optimization, and MLOps practices to deliver scalable AI solutions supporting Global Demand Management and SAP IBP.

• Evaluate model performance and business impact to improve forecast accuracy, exception management, and demand-planning decisions.

• SAP IBP integration: Connect AI solutions with SAP IBP data, workflows, analytics, and planning processes.

• Demand-specific use cases: Forecast explanations, exception prioritization, demand-driver analysis, scenario recommendations, and planner support.

• Human-in-the-loop controls: Position AI as decision support rather than fully autonomous decision-making.

• Time-series expertise: Retain transformers, RNNs/LSTMs, embeddings, and transfer learning only where relevant to forecasting and demand patterns.

• Responsible AI: Include explainability, validation, security, governance, and monitoring.

• Adoption and value: Measure improvement in forecast accuracy, planner productivity, exception resolution, and decision quality.

What your background should look like:

• Master’s in Computer Science, Data Science, Machine Learning, Statistics, or related field.

• 6+ years of experience in machine learning, deep learning, natural language processing, or applied Strong proficiency in Python, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and data pipelines.

• Hands-on knowledge of SAP IBP for Demand, planning data, forecasting processes, analytics, and workflow integration.

• Strong understanding of demand forecasting, time-series modeling, segmentation, forecast accuracy, bias, exceptions, and scenario analysis.

• Experience with LLMs, Generative AI, Agentic AI, vector databases, RAG pipelines, and model evaluation and fine-tuning.

• Experience with transformers, RNNs/LSTMs, embeddings, transfer learning, and predictive modeling for demand and time-series use cases.

• Familiarity with MLOps, cloud platforms, and big-data ecosystems, including model deployment, monitoring, governance, and security.

• Ability to translate demand-management requirements into scalable AI and SAP IBP solutions and drive stakeholder alignment, adoption, and measurable business value.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.