Senior Data Scientist, Demand Forecasting, Food Systems
Core
Design, implement, and improve demand forecasting time series and causal models to optimize global supply chain operations and reduce food waste.
Role type
Senior IC data scientist (demand forecasting)
Builds
Production statistical and ML models for global demand forecasting
Domain
Food systems / Supply chain optimization
Deliverable
production ML models
Required skills
Time series modeling, Causal inference, Python (NumPy, Pandas, Scikit-learn), SQL, Statistical uncertainty handling, Cloud data engineering (AWS/GCP/Azure), GenAI tooling supervision
Preferred skills
Databricks, PySpark, Supply chain domain knowledge, GenAI development flow expertise
Technologies
AWS (EMR, Glue, S3), Kafka, PySpark, Airflow, Databricks
Responsibilities
Take technical ownership of forecasting models from data collection to operationalization; Propose new approaches to evolve statistical and ML models; Experiment and refine forecasting approaches; Collaborate with cross-functional teams to translate business objectives into data strategies; Mentor junior data scientists and colleagues
Seniority
Senior, hands-on IC with mentorship responsibilities
