Data Scientist

The Lead Data Scientist must have practical experience creating business-facing analytical applications and delivering AI-enabled products.

Responsibilities

• Design and build analytical applications that enable data-driven decision-making.
• Create prototypes and deliver production-ready AI-enabled solutions.
• Work closely with engineering teams to shape application architecture and support deployment.
• Develop user-facing tools to enhance accessibility and increase adoption of analytical solutions.
• Enable API-based integrations between analytical systems and enterprise applications.
• Assist with full-stack analytical solution delivery when required.
  
  

Required Experience

Candidates should have proven 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 operate as full-time software engineers. However, they must have sufficient experience to join architecture discussions, build prototypes, support production-grade analytics products, and quickly learn new