Supply Chain Data Scientist 3
Core
Develop time-series forecasting and predictive analytics solutions to improve demand planning accuracy and supply chain performance for Comcast.
Role type
Senior IC supply chain data scientist (forecasting & ML)
Builds
Scalable forecasting models and data pipelines for demand sensing and planning
Domain
Supply chain, retail/CPG, time-series forecasting
Deliverable
production ML models
Required skills
time-series forecasting (ARIMA, Prophet, XGBoost), machine learning, Python, SQL, feature engineering, data wrangling, cloud ML platforms (AWS SageMaker, Azure, GCP, Databricks), project management
Preferred skills
large-scale forecasting systems experience, hierarchical forecasting techniques, demand planning process knowledge, track record of improving forecast accuracy
Technologies
Python, SQL, Excel (PowerPivot), PowerPoint, GitHub, AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks
Responsibilities
Develop and deploy time-series forecasting models; Build and evaluate ML models for demand sensing and anomaly detection; Perform data wrangling and feature engineering on large-scale datasets; Design and implement end-to-end data science pipelines; Analyze and monitor forecast performance metrics; Create documentation, dashboards, and visualizations to communicate insights
Seniority
Senior, hands-on IC
