We are looking for a Data Scientist with 2–4 years of hands-on experience to lead and drive data-driven initiatives across Smart Node’s ecosystem. In this role, you will not only build advanced statistical and machine learning models, but also lead end-to-end development, mentor junior engineers, and productionize scalable data products.

You will work closely with cross-functional business units—including Sales, Operations, Supply Chain, and Customer Experience—as well as firmware, cloud, and hardware teams to transform raw IoT telemetry, ERP workflows, and user interactions into scalable, production-grade intelligence.

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Key Responsibilities
Technical Leadership & Team Guidance
Lead Data Projects: Act as the technical point of contact for data science initiatives, owning solutions from problem formulation to production deployment.
Mentorship & Code Quality: Code-review work, champion modular coding standards, design robust system architectures, and mentor junior data scientists/analysts.
Cross-Functional Ownership: Collaborate directly with business leaders (Sales,



HR, Finance, Operations) to translate high-level business goals into technical roadmaps.
End-to-End ML & AI Solutions
Demand & Inventory Optimization: Architecture and end-to-end implementation of time-series predictive demand models to streamline inventory and reduce stockouts.
Sales Intelligence: Build, deploy, and monitor lead scoring and churn prediction models to maximize sales conversion rates and customer lifetime value (LTV).
Predictive Maintenance & IoT Telemetry: Build high-reliability failure forecasting models using streaming IoT device data (e.g., heartbeat logs, MQTT payloads) in collaboration with hardware/cloud teams.
NLP & Generative AI Systems: Design and integrate production-grade LLM applications (e.g., automated support, operational text classification) using contemporary API/RAG frameworks.
Productionization, MLOps & Architecture
Model Deployment: Deploy ML models i

📌 Vadodara, Gujarat (India)
🏢 Smart Node
📍 India