Data Scientist
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Job Summary
Core Programming & Tools
Hands-on experience building and deploying ML models on large-scale production datasets
Strong programming proficiency inPythonwith production-quality well-structured code
Proficient inSQL; experience working with large-volume datasets inSparkand/orSnowflake
Experience withGitfor version control code review and collaboration
Familiarity with experiment tracking and model versioning ()
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 usingAzure AI Studioand 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 likeLangChainor 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
Required Skills:
MLPythonAILLMRAG
