Chief Data Scientist

Chief Data Scientist

Requirements

• PhD in a relevant field (e.g., Data Science or Artificial Intelligence)
• 15+ years of relevant working experience
• Proven experience in applying AI within the Supply Chain domain
• Expertise in integrating AI into SaaS products and offerings
• Hands-on experience in scaling Generative AI and AI/ML solutions
• Strong skills in Machine Learning, Deep Learning, and Data Analysis
• Proficiency in SQL, R, and Python for statistical analysis and programming
• Experience with training models, GNN, and Knowledge Graphs
• Familiarity with LLMs and fine-tuning techniques
• Effective communication and influencing skills
• Demonstrated team leadership experience
• Strong understanding of supply chain management principles and challenges
• Track record of delivering impactful AI projects in enterprise environments
• Commitment to ethical AI practices and data privacy

Responsibilities

• Develop and communicate Blue Yonder’s data science vision and strategy
• Drive innovation in AI and machine learning techniques for supply chain optimization
• Lead research initiatives in Generative AI, LLMs, and fine-tuning techniques
• Contribute to industry publications and represent Blue Yonder at conferences
• Collaborate with product teams to integrate cutting-edge AI into our SaaS offerings
• Mentor and develop a team of data scientists and machine learning engineers
• Foster a culture of innovation, collaboration, and continuous learning
• Align team goals with organizational objectives and industry best practices
• Ensure ethical AI practices and privacy considerations are embedded in all projects
• Engage with key customers to understand their needs and showcase Blue Yonder’s AI capabilities
• Collaborate with sales teams to support high-value opportunities and retain strategic accounts
• Communicate complex technical concepts to diverse stakeholders, including C-level executives
• Develop and deliver compelling presentations on Blue Yonder’s AI-driven supply chain solutions
• Provide technical leadership on critical data science projects, including GNN and Knowledge Graphs
• Ensure successful implementation and scaling of AI/ML solutions within supply chain contexts
• Establish best practices for data quality, model performance, and ethical AI use
• Oversee the development and delivery of prototypes and proof-of-concepts for innovative AI applications

Preferred Qualifications

No preferred qualifications provided.