PRINCIPAL, DATA SCIENTIST

Requirements

• 14-20 years of experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI/AI/ML products and applications
• Bachelor's or Master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area
• Experience in production-grade AI/ML system development with major technology companies or AI-native start-ups
• Ability to execute trustworthy AI/ML practice with stakeholders across the enterprise
• Experience in managing and coaching junior data scientists
• Effective communication skills, including the ability to present research progress, major breakthroughs, and product innovation to stakeholders
• Experience with statistical analysis and programming languages such as Java, Python, SQL, and mainstream machine learning frameworks such as TensorFlow or PyTorch
• Experience in building deep learning applications, neural network deployment optimizations, and architecting ML systems
• Experience in developing chatbots/NLP/recommendation-engine systems
• Experience in working with distributed machine learning systems at scale in production
• Experience with version control using Git in collaboration settings
• Experience in writing high-performing production-quality code in Python
• Experience with end-to-end CI/CD pipelines and experience with Kubernetes
• Thorough, meticulous, and detail-oriented
• Experience in establishing work standards and leveraging automations
• Collaborative, open, honest, timely decision making, and clear communication in both verbal and written forms
• Lifelong learning, engaged in open-source communities to both find answers and help others

Benefits

• Incentive awards for performance
• Maternity and parental leave
• PTO
• Health benefits
• Other great perks