Data Scientist

Core Programming & Tools

• Hands-on experience building and deploying ML models on large-scale production datasets
• Strong programming proficiency in Python with production-quality, well-structured code
• Proficient in SQL; experience working with large-volume datasets in Spark and/or Snowflake
• Experience with Git for version control, code review, and collaboration
• Familiarity with experiment tracking and model versioning (e.g., MLflow)

Classical ML & Statistical Modeling

• Time series forecasting (ARIMA, Prophet, deep learning approaches)
• Optimization modeling (linear programming, mixed-integer programming)
• Classification, regression, clustering, and ensemble methods
• Feature engineering, data wrangling, and statistical analysis on structured data

LLM Application & AI Agent Development

• AI Agent development: experience building agentic frameworks using Azure AI Studio and Azure model endpoints, including tool-use patterns and multi-step orchestration
• RAG pipeline development: document ingestion/chunking, vector embedding/indexing (Azure AI Search), and response generation using LLM endpoints
• Prompt engineering and chain-of-thought design for complex supply chain workflows
• Experience with orchestration frameworks like LangChain or LlamaIndex

Azure & Production Delivery

• Familiar with core Azure resources: Azure Machine Learning, Azure AI Studio, Azure OpenAI Service, and Azure storage/compute
• Experience delivering production-ready models with proper testing, validation, and monitoring
• Basic UI skills (Streamlit or Gradio) for quick prototyping and demos

Work Style

• Highly self-motivated, collaborative, and able to deliver in a fast-paced environment
• Able to start contributing within 1-2 weeks with minimal ramp-up

Nice to Have

• Supply chain domain experience (demand forecasting, inventory optimization, logistics, etc.)
• Familiarity with ERP data structures (Oracle, SAP)