Location
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, EdgeAll, is seeking the following. Apply via Dice today!
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
Key Responsibilities
ML Model Development & Deployment
Data Engineering & Pipeline Development
Performance Optimization & Scalability
Business Collaboration & Translational Analytics
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
- 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)