Senior Data Scientist (Supply Chain)

Job Location WARSAW - EU SUPPLY NETWORK HUB Job Description Within our Demand Planning team, we forecast how much of our everyday essentials (like diapers, laundry detergents, disinfectants, soap or shampoos) our retail customers will order - helping P&G stay ready to meet that demand wherever and whenever it arises. We’re looking for an ambitious Senior Data Scientist who thrives in high-impact environments, builds ML models, transforms them into production-ready pipelines, and understands the balance between technical excellence and business relevance. You’ll be joining a global organization with strong data maturity, where you’ll shape scalable solutions across forecasting, optimization, and applied analytics domains. What You’ll Do: Design, develop, and deploy demand-forecasting models for the full product lifecycle (from product launch through discontinuation) Advance our forecasting engines with techniques such as time-series clustering and statistical/ML modeling (scikit-learn, stats models) Lead initiatives on feature engineering, model evaluation, and forecast-accuracy monitoring at scale Build and maintain robust, config-driven data pipelines using Databricks and PySpark Collaborate with cross-functional teams on end-to-end solution delivery — from prototype to production Contribute to our internal forecasting library and advocate for clean architecture, modular design, and long-term maintainability Lead cross functional teams and support management with a data-driven decision making Job Qualifications Solid Data Science background in areas of: Time Series forecasting, Supervised learning, and ML/statistical algorithms (scikit-learn, statsmodels) Strong Python programming skills, with hands-on experience across the scientific stack (pandas, NumPy, SciPy) Experience turning models into production-ready, modular pipelines with clean architecture and config-driven design (e.g. Pydantic) Proficiency with version control (Git) At least 4 years of experience as a Data Scientist or a related position (Data Engineer / Software Engineer / AI Engineer / ML Ops) Excellent collaboration skills and working comfortably within a cross-functional team Shown success in leadership, problem solving and priority setting English proficiency and at least a Bachelor's degree 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 Prior background knowledge of Supply Chain or FMCG domains What we offer Work in an international Data Science team with global responsibilities (with large part of engineering and product teams located in Warsaw) Long-term career with development and growth opportunities Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center) Relevant trainings, certifications, conference participation Internal coaching programs & training Flexible working arrangements