Data Scientist

About the Role

The Lead Data Scientist must possess practical experience building business-facing analytical applications and AI-enabled products.

Key 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.

Requirements & Tech Stack

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

Qualifications

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 technologies.