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](https://www.carrier.com/) or follow Carrier on social media at @Carrier.
- 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.
- 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.
Requires advanced knowledge obtained through a University degree, combined with experience Practical to substantial knowledge of Carrier organization, programs or systems with the ability to make enhancements and leverage in daily work University Degree or equivalent A minimum of 5 years prior relevant experience OR An advanced degree in a related field and a minimum of 3 years experience
We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
- Make yourself a priority with flexible schedules, parental leave
- Drive forward your career through professional development opportunities
- Achieve your personal goals with our Employee Assistance Programme
Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.
Join us and make a difference.
Apply Now!
Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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