As the Director of Predictive Analytics Demand Forecasting, you will play a pivotal role in building and leading our machine learning team from the ground up. In this role, youll establish team processes, define best practices, and lay the strategic foundation for the future of machine learning at Kibo. You will drive both hands-on technical innovation and strategic leadership by leveraging and fine-tuning industry-standard models available on platforms like SageMaker and Vertex-AI. Your work will focus on optimizing demand forecasting accuracy and engineering efficient ETL pipelines to manage large-scale datasets, ensuring that our ML solutions are both robust and scalable.
WHAT YOULL DO
Build and mentor a high-performing ML and data engineering team
Develop workflows and best practices for efficient and scalable operations
Design and deploy machine learning models for supply chain demand forecasting and inventory management
Build scalable pipelines to process and transform large order management and sales datasets
Collaborate with teams to define forecasting requirements and deliver actionable feedback
Integrate ML solutions with existing order management systems and tools
Drive customer value by leveraging demand forecasting for optimized order routing and proactive inventory reallocation
Maintain or refactor the existing processes that support the current BigQuery/Looker multi tenant BI platform
Optimize time series models, regression algorithms, and neural networks for accuracy
Monitor, fine-tune, and ensure the scalability of deployed models
Conduct EDA to uncover trends, seasonality, and anomalies in data
Develop and maintain ETL workflows for reliable data ingestion and preprocessing supporting multiple Tenants and Data Centers
Utilize cloud platform GCP for model training and deployment