Lead Data Scientist

Application Development & AI Solutions

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

Required Qualifications

Education

• Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, or related field.
• Master's Degree preferred.
• Ph.D. considered a plus.

Experience

• 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or Artificial Intelligence.
• 3+ years serving in a senior technical leadership capacity.
• Demonstrated experience delivering enterprise-scale analytics and AI initiatives.
• Experience mentoring and developing Data Scientists.
• Experience partnering directly with business stakeholders and leadership teams.
• Experience leading cross-functional initiatives involving product, engineering, and business teams.