Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures. The role focuses on ensuring reliable data integration, transformation, and accessibility across multiple platforms, including cloud environments, to support business intelligence and analytics initiatives.
Key Responsibilities
Design, develop, and maintain scalable data architectures and data pipelines based on business requirements
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