Data Scientist

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