• Develop and execute data strategies in the absence of established playbooks, leveraging creative problem-solving to deliver innovative solutions.
  
• Translate business requirements into technical plans and deliver results that drive strategic decision-making.
  
• Lead the design, deployment, and optimization of supervised and unsupervised machine learning models.
  
• Conduct training and enablement sessions for end users on data science and analytics technologies.
  
• Work extensively with large, complex datasets using Python and SQL to extract insights and support business objectives.
  
• Collaborate with senior stakeholders across business and technical teams, contributing effectively in both strategic and technical forums.
  
• Ensure model performance, scalability, and maintainability through continuous monitoring and refinement.
  

Requ...