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 Experience Candidates should have demonstrated experience with one or more of the following technologies:
React
FastAPI
Streamlit
Dash
Flask
Databricks Apps
REST API Development
Up-to-date Web Application Frameworks

Candidates 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 current

📌 Data Scientist Bengaluru
🏢 Ascendion
📍 Bengaluru