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- Job Description of the role -
- Lead the design and implementation of an enterprise-scale demand forecasting solution on Snowflake. This role will drive architecture, model strategy, and end-to-end delivery of scalable AI/ML pipelines, enabling a shift toward data-driven, predictive planning.
- Technical Skills
- o Strong experience in AI/ML (Forecasting, Time Series, Regression Models)
- o Hands-on experience with Python
- o Expertise in Snowflake (Snowpark, SQL, data modeling, performance optimization)
- o Experience with data pipeline tools (DBT, Matillion, Airflow, or equivalent)
- o Strong SQL and data engineering fundamentals
- o Domain Knowledge (Preferred)
- o Experience in Supply Chain / Demand Planning / Manufacturing domain
- o Understanding of seasonality, S&OP processes, and forecasting challenge
- Key Responsibilities
- ML Model Development & Deployment
- o Design and develop demand forecasting models using statistical and machine learning techniques
- o Build and operationalize ML models within the Snowflake ecosystem
- o Deploy models into production with proper versioning, monitoring, and retraining strategies
- Data Engineering & Pipeline Development
- o Develop and maintain scalable data pipelines for ingesting, transforming, and preparing large datasets
- o Leverage Snowflake features for ELT/ETL, including integrations
- o Ensure data quality, governance, and consistency across forecasting datasets
- Performance Optimization & Scalability
- o Optimize model performance for accuracy, efficiency, and cost
- o Improve pipeline scalability using Snowflake warehouse tuning and compute optimization
- o Implement monitoring mechanisms for model drift, data drift, and pipeline health
- Business Collaboration & Translational Analytics
- o Partner with business stakeholders (Supply Chain, Sales, Finance) to understand demand planning processes
- o Translate business requirements into analytical solutions and ML features
- o Support scenario analysis (seasonality, demand variability, supply constraints)
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