• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 13+ years of significant experience in data science, with a specialized focus on GenAI projects.
• Exceptional skills in programming with Python, R, or Scala, and deep knowledge of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Comprehensive experience in managing large datasets, performing complex data preprocessing, and applying feature engineering.
• Expertise in cloud computing platforms such as AWS, Azure, or Google Cloud, and sophisticated data visualization tools.
• Demonstrated leadership experience with the ability to manage, inspire, and develop large data science teams.
• Outstanding strategic, analytical, and project management skills.
• Excellent communication and interpersonal abilities, capable of engaging effectively with senior management and cross-functional teams.
Preferred Qualifications:
• Proficiency in object-oriented programming languages such as Java, C++, or C#.
• Documented success in deploying machine learning applications in a production environment.
• Familiarity with data privacy and regulatory compliance within a corporate context.
• Advanced certifications in data science or GenAI technologies.