Specialist, Material Planning-SIOP

Role :   Specialist, Material Planning-SIOP Location :  Gurugram Full/ Part-time :  Full Time   About Carrier     Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,   safety   and sustainability to life. Through   cutting-edge   advancements in climate solutions such as temperature control, air   quality   and transportation, we improve lives, empower critical   industries   and ensure safe transport of food, life-saving medicines and more.

Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the   center   of   everything we do. For more information, visit   corporate.carrier.com   or follow Carrier on social media at @Carrier. About the role 9-10 year’s experience as a data scientist Experience with sales/inventory/operations data, planning data, data modeling, AI-Powered Demand Insights, Agentic AI for Supply Chain Actions, AI Skills & Recommendations, Email/Slack/Chat Integration for AI, Natural Language Query & Reporting.

Discovery of data points, regression models, KPIs, building models, understand market data  Develop and implement statistical forecasting models to predict future market demand, sales trends, and customer behavior. Utilize regression analysis techniques to understand the relationships between various factors and business outcomes. Collect, clean, and transform large datasets from various sources, including internal databases, external APIs, and public data repositories.

Engineer relevant features from raw data to improve model performance and extract meaningful insights. Develop and implement data pipelines for efficient data extraction, transformation, and loading (ETL). Develop and deploy machine learning models, including supervised and unsupervised learning algorithms (e.g., decision trees, random forests, support vector machines, neural networks). Explore and implement deep learning techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks1 (GANs), for complex tasks like image recognition, natural language processing, and time series forecasting.

Train, validate, and evaluate machine learning models using appropriate metrics and techniques. Monitor model performance over time and implement necessary adjustments to maintain accuracy and effectiveness. Communicate model findings and insights to stakeholders in a clear and concise manner. Key Responsibilities:   Develops strategies for materials planning and SIOP. Responsible for the development of standardized processes within materials planning and SIOP in order to optimize the utilization of business resources and meet customer expectations for delivery.

Responsible for the development of indicators that enable visibility to short and long-term market trends and demand. Identifies appropriate demand streams and establishes data relationship linkages. Works with product development leaders and sales and marketing teams to develop demand forecasts. Responsible for planning capacity and fulfillment demand with plant manufacturing operations. Works with manufacturing team and develops monthly production volume planning using the business forecast, inventory position, actual customer orders, and the defined capacity parameters.

Identifies and develops new technologies to improve materials planning and SIOP capability, sustainability, and reliability. Responsible for tracking appropriate metrics to drive results and continuous improvement. Responsible for the development of processes and plans to improve supply capabilities. Establishes clear and robust metrics to measure progress through process improvements for SIOP. Requirements   Requires advanced knowledge obtained through a University degree, combined with exper