Senior Data Scientist (Supply Chain Planning)

P&G is the world's largest consumer goods company with iconic trusted brands in everyday essentials such as diapers, laundry detergents, disinfectants, soap, and shampoos. The role is within the Demand Planning team at their Warsaw EU Supply Network Hub, focusing on forecasting retail customer orders. P&G operates with a strong data maturity globally and emphasizes leadership, innovation, and citizenship.

• Solid Data Science background in Time Series forecasting, Supervised learning, and ML/statistical algorithms using scikit-learn, statsmodels
• Strong Python programming skills with hands-on experience in scientific stack including pandas, NumPy, SciPy
• Experience converting models into production-ready, modular pipelines with clean architecture and config-driven design (e.g., Pydantic)
• Proficiency with version control (Git)
• Minimum 4 years of experience as a Data Scientist or related roles (Data Engineer, Software Engineer, AI Engineer, ML Ops)
• Excellent collaboration skills in cross-functional teams
• Demonstrated leadership, problem-solving, and priority-setting abilities
• English proficiency and at least Bachelor's degree in a relevant field

Nice to have:

• Experience building distributed data pipelines with PySpark on Databricks, and familiarity with SQL and Azure
• Exposure to demand/sales forecasting, product-lifecycle modeling, or forecast-accuracy evaluation
• Background knowledge in Supply Chain or FMCG domains

• Design, develop, and deploy demand-forecasting models for the full product lifecycle from launch through discontinuation
• Advance forecasting engines using time-series clustering and statistical/ML modeling (e.g., scikit-learn, statsmodels)
• Lead feature engineering, model evaluation, and forecast-accuracy monitoring initiatives at scale
• Build and maintain robust, configuration-driven data pipelines using Databricks and PySpark
• Collaborate with cross-functional teams for end-to-end solution delivery from prototype to production
• Contribute to internal forecasting library promoting clean architecture, modular design, and maintainability
• Lead cross-functional teams and support management with data-driven decision making

Employment is exclusively offered under "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. Equal opportunity employer valuing diversity. Reasonable accommodations provided for individuals with disabilities during application and interview processes.