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