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The Data Scientist applies data science principles to solve problems through data analysis and project management, working under limited supervision.

The Associate Procurement Manager collaborates with stakeholders and suppliers to manage procurement processes, ensuring compliance and resolving escalations. The role supports teams across divisions and offers potential for career advancement within the organization.

The Global Planning and Logistics Director will lead global supply chain planning, optimize logistics networks, drive digital transformation, manage risk, and ensure compliance with standards.

The Sales Development Manager will drive sales growth within Ecolab's Institutional business by prospecting new customers, implementing sales strategies, and providing outstanding customer service.

Process end-to-end intercompany invoices and journal entries in SAP, reconcile discrepancies, maintain month-end reporting and eliminations (SOX 801), manage ERP tools, support stakeholders, train junior analysts, and ensure compliance with withholding tax and internal policies.

The role involves designing, developing, and maintaining ServiceNow solutions, collaborating with stakeholders, and following best practices in an Agile/Scrum environment.

Lead Software Engineer responsible for designing, building, and maintaining Sitecore-based solutions using .NET Core, React/Next.js, GraphQL, Azure, SQL, Coveo, and front-end technologies. Strong Sitecore XM Cloud/Content Hub and JSS experience preferred; Sitecore certifications are advantageous.

Lead design and delivery of scalable GenAI systems using LLMs, vector retrieval, and multi-agent orchestration. Drive solution architecture, mentor junior engineers, and produce production-ready applications integrated with business platforms.

The Senior Marketing Manager will lead strategy and execution for the Life Sciences digital business, focusing on growth and customer-centric innovation while managing cross-functional teams and market analysis.

Lead the architecture and development of scalable generative AI systems using LLMs, vector retrieval, and multi-agent orchestration. Design intelligent workflows, integrate production applications with business platforms, mentor junior engineers, and deliver reliable solutions under the guidance of an AI Engineering Manager.