Staff Data Scientist – AI/ML, Generative AI & Agentic Systems

We are seeking a highly skilled and forward-thinking Staff Data Scientist with 5-7 years of experience in AI/ML, Generative AI, and Agentic AI systems to join our Advanced Supply Chain Analytics team. This role will focus on developing intelligent, autonomous, and self-orchestrating systems that enhance forecasting, planning, and operational decision-making across the global supply chain. The ideal candidate will have hands-on experience with LLMs, LangChain, multi-agent frameworks, and cloud-based ML engineering (AWS). You will design scalable, production-grade AI solutions, collaborating closely with cross-functional teams to accelerate our digital and supply chain transformation journey.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
AI/ML, Generative AI & Agentic AI Development
• Design, build, and deploy AI/ML models for Supply Chain Planning (Demand Planning, Product Planning, Capacity planning, Inventory optimization, and production scheduling).
• Develop multi-agent and generative AI-powered systems (using LLMs and frameworks like LangChain, AutoGen, CrewAI) to enable real-time decision orchestration and intelligent automation.
• Prototype intelligent assistants that interpret complex workflows, automate tasks, and generate data-driven recommendations for supply chain planners.
• Implement autonomous agentic workflows that integrate insights across multiple enterprise systems (SAP, Blue Yonder, MES, Dynamics, etc.). Engineering & MLOps
• Build and maintain scalable AI/ML pipelines using Python, Pandas, Neural Prophet, SQL, Spark, and AWS tools (S3, Lambda, SageMaker).
• Utilize containerization (Docker) and orchestration (Kubernetes) for deployment of multi-agent applications.
• Apply MLOps best practices
— CI/CD, model versioning, monitoring (Grafana, CloudWatch), and drift detection. Cross-Functional Collaboration
• Work with Planning, Procurement, Manufacturing, IT, and Engineering teams to identify and prioritize use cases for automation and decision augmentation.
• Present technical solutions, demonstrate prototypes, and communicate insights effectively to senior stakeholders. Innovation & Continuous Improvement
• Lead the exploration and adoption of Agentic AI frameworks for autonomous planning and execution in supply chain functions.
• Stay current with emerging technologies in AI/ML, GenAI, and distributed intelligence systems.
• Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency.

Qualifications
REQUIRED:
• Master’s or PhD in Computer Science, Data Science, Statistics, or a related quantitative field with a focus on AI/ML.
• 5-7 years of experience in AI/ML model development and deployment, preferably in supply chain or manufacturing environments.
• Demonstrated success in designing and deploying LLM or agent-based systems for automation or optimization.

SKILLS:
• Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with LLMs, LangChain, Agentic AI frameworks (e.g., AutoGen, CrewAI, BabyAGI).
• Proficiency with Docker, Kubernetes, MLflow, Airflow, and GitHub.
• Familiarity with AWS services and observability tools like Grafana and CloudWatch.
• Exceptional communication, stakeholder management, and problem-solving skills.
• Proven leadership in cross-functional, innovation-focused environments. Domain Expertise:
• Strong understanding of supply chain systems (SAP, BY ESP, MES) and planning processes (MEIO, IBP, factory build planning). Why Join Us?
• Shape the future of Agentic and Generative AI-driven Supply Chain Transformation.
• Collaborate with global teams driving large-scale operational excellence.
• Work with cutting-edge AI tools to solve complex, real-world problems at enterprise scale.