Data Science Lead for SIOP

Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About this role

As a SIOP (Sales, Inventory, and Operations Planning) Data Scientist at Carrier Corporation, this person will play a crucial role in enhancing the company's supply chain and operational efficiency. This role demands a deep understanding of data engineering and analytics, predictive modeling, and optimization techniques to drive strategic decision-making, improve inventory management, and streamline the company's overall supply chain processes. You will partner with Digital and lead a team of data scientists to work closely with cross-functional teams to ensure that Carrier Corporation remains at the forefront of supply chain excellence.

Key Responsibilities

• Utilize advanced statistical models and machine learning techniques to analyze historical data and extract actionable insights and build forecasting models related to demand and supply patterns, inventory levels, and supply chain efficiency.
• Develop and execute data-driven strategies for Sales, Inventory, and Operations Planning (SIOP) to optimize demand forecasting, inventory levels, and production schedules across Carrier, including Aftermarket Services.
• Collaborate with senior leadership to align SIOP processes with the company's strategic goals and objectives.
• Develop and refine demand forecasting models to enhance accuracy, align with business goals, and support effective inventory management.
• Apply advanced data analysis and statistical modeling techniques to extract valuable insights from internal and external data sources.
• Develop and implement predictive models for demand forecasting, inventory optimization, and production planning.
• Develop strategies and algorithms to optimize inventory levels, reducing excess and obsolete inventory while meeting customer demand.
• Create compelling data visualizations and reports to communicate key findings and recommendations to stakeholders at various levels of the organization.
• Develop and maintain key performance indicators (KPIs) to track the effectiveness of SIOP initiatives and ensure data-driven decision-making
• Oversee the execution of data-driven projects and ensure their successful delivery.
• Collaborate with cross-functional teams, including supply chain, finance, marketing, and operations, to ensure alignment with SIOP objectives.
• Collaborate with cross-functional teams to identify opportunities for improving supply chain processes, reducing lead times, and minimizing costs while ensuring product availability.