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 new

📌 Data Scientist (Bengaluru)
🏢 Ascendion
📍 Bengaluru