Data Scientist

D:
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 an...