Lead the design and implementation of an enterprise-scale demand forecasting solution on Snowflake

Technical Skills

• Strong experience in AI/ML (Forecasting, Time Series, Regression Models)
• Hands-on experience with Python
• Expertise in Snowflake (Snowpark, SQL, data modeling, performance optimization)
• Experience with data pipeline tools (DBT, Matillion, Airflow, or equivalent)
• Strong SQL and data engineering fundamentals
• Domain Knowledge (Preferred)
• Experience in Supply Chain / Demand Planning / Manufacturing domain
• Understanding of seasonality, S&OP processes, and forecasting challenge

Key Responsibilities

ML Model Development & Deployment

• Design and develop demand forecasting models using statistical and machine learning techniques
• Build and operationalize ML models within the Snowflake ecosystem
• Deploy models into production with proper versioning, monitoring, and retraining strategies

Data Engineering & Pipeline Development

• Develop and maintain scalable data pipelines for ingesting, transforming, and preparing large datasets
• Leverage Snowflake features for ELT/ETL, including integrations
• Ensure data quality, governance, and consistency across forecasting datasets

Performance Optimization & Scalability

• Optimize model performance for accuracy, efficiency, and cost
• Improve pipeline scalability using Snowflake warehouse tuning and compute optimization
• Implement monitoring mechanisms for model drift, data drift, and pipeline health

Business Collaboration & Translational Analytics

• Partner with business stakeholders (Supply Chain, Sales, Finance) to understand demand planning processes
• Translate business requirements into analytical solutions and ML features
• Support scenario analysis (seasonality, demand variability, supply constraints)