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

● Modern 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