<p>We are seeking an experienced <strong>NetSuite Implementation Specialist</strong> to lead and support end‑to‑end NetSuite implementations across finance, operations, and order‑to‑cash processes. This role partners closely with business stakeholders to translate requirements into scalable NetSuite solutions while ensuring successful deployments, user adoption, and long‑term system optimization.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead <strong>end‑to‑end NetSuite implementations</strong>, including requirements gathering, solution design, configuration, testing, deployment, and post‑go‑live support</li><li>Collaborate with Finance, Operations, Sales, and IT teams to understand business processes and recommend best‑practice NetSuite configurations</li><li>Configure NetSuite modules such as <strong>Financials (GL, AP, AR), Order Management, Inventory, Fixed Assets, and Advanced Revenue Management</strong></li><li>Design and implement <strong>custom workflows, scripts, saved searches, reports, and dashboards</strong> to support business needs</li><li>Manage <strong>data migration, validation, and reconciliation</strong> between legacy systems and NetSuite</li><li>Support integrations with third‑party systems using <strong>SuiteTalk, REST APIs, and middleware tools</strong></li><li>Create functional documentation, training materials, and conduct end‑user training sessions</li><li>Provide post‑implementation support, troubleshooting, and continuous system improvements</li><li>Act as a trusted NetSuite subject matter expert and advisor to stakeholder</li></ul><p><br></p>
<p>Key Responsibilities</p><ul><li>Design and implement forecasting algorithms tailored to specific customers and product lines</li><li>Partner with business stakeholders to determine appropriate forecasting methodologies and modeling approaches</li><li>Build machine learning solutions from scratch (no existing models in place)</li><li>Ingest and transform data from an on‑premises data warehouse using ETL processes</li><li>Stage and model data into reporting schemas for analytics and downstream consumption</li><li>Develop and expose semantic models, initially schema‑based, and transition them to use a data lake as the primary source</li><li>Enable reporting and analytics by publishing schemas and models into Microsoft Fabric</li><li>Support the evolution of existing semantic models to lake‑centric architectures</li><li>Ensure scalable, well‑governed data models aligned with analytics and ML use case</li></ul><p><br></p>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>