The Lead Data Scientist must possess practical experience building business-facing analytical applications and AI-enabled products.Responsibilities● Design and develop analytical applications that support decision-making.● Build prototypes and production-ready AI-enabled solutions.● Collaborate with engineering teams on application architecture and deployment.● Develop user-facing tools that improve accessibility and adoption of analytical solutions.● Support API-based integrations between analytical systems and enterprise applications.● Contribute to full-stack analytical solution delivery when required.Required ExperienceCandidates should have demonstrated experience with one or more of the following technologies:● React● FastAPI● Streamlit● Dash● Flask● Databricks Apps● REST API Development● Modern Web Application FrameworksCandidates are not expected to function as full-time software engineers. However, they should have enough experience to participate in architecture discussions, develop prototypes, support production-grade analytics products, and quickly learn recent

📌 Data Scientist (Bengaluru)
🏢 Ascendion
📍 Bengaluru