The leading multinational retailer is seeking to leverage AI to solve complex business problems in the supply chain and IT space.
Requirements
Hands-on experience with Copilot Studio or Azure Data Studio for Data Science and Data Engineering , AI assistant that helps analyze and visualize data
Proven experience as a Data Scientist with a strong portfolio of AI/ML projects.
Strong hands-on expertise with AI tools, libraries, and frameworks.
Demonstrated experience deploying agentic AI solutions (e.g., AI agents that perform autonomous decision-making or task execution).
Strong understanding and practical experience with Co-Pilot tools.
Experience in Supply Chain operations or technology
Familiarity with cloud platforms and MLOps practices.
Responsibilities
Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions.
Design, develop, and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making.
Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks.
Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support.
Translate complex data insights into clear, actionable recommendations through compelling visualizations, presentations, and written reports.
Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows.
Stay updated on the latest advancements in AI, machine learning, and supply chain technologies to continuously enhance solution capabilities.
Other
Excellent verbal and written communication skills, with a proven ability to present technical findings to diverse audiences.
Comfortable working in IT-driven environments, collaborating with engineers, analysts, and business users.
One day per week onsite at our client’s San Francisco downtown office, with the flexibility to work remotely the rest of the week.
Degree requirements not specified, but experience as a Data Scientist is required.
Travel requirements not specified, but some onsite work is required.
