Senior Data Scientist (Supply Chain Planning)
Core
Design, develop, and deploy demand-forecasting models for everyday essentials (diapers, detergents, etc.) to help P&G meet retail customer demand.
Role type
Senior IC data scientist (supply chain forecasting)
Builds
Production-ready forecasting pipelines and scalable solutions for demand planning
Domain
Consumer goods (FMCG) + Supply Chain Planning
Deliverable
production ML models
Required skills
Time series forecasting, Supervised learning, ML/statistical algorithms, Python, Feature engineering, Model evaluation, Data pipeline development, Clean architecture, Config-driven design
Preferred skills
Distributed data pipelines, PySpark, Databricks, SQL, Azure, Demand/sales forecasting, Product-lifecycle modeling, Supply Chain domain knowledge
Technologies
scikit-learn, statsmodels, pandas, NumPy, SciPy, Pydantic, Git, PySpark, Databricks, Azure
Responsibilities
Design and deploy demand-forecasting models across product lifecycle; Advance forecasting engines with time-series clustering and statistical/ML modeling; Lead initiatives on feature engineering and forecast-accuracy monitoring; Build and maintain robust, config-driven data pipelines; Collaborate on end-to-end solution delivery; Contribute to internal forecasting library and advocate for clean architecture; Lead cross-functional teams and support management with data-driven decision making
Seniority
Senior, hands-on IC with leadership responsibilities
