Senior Data Scientist (Supply Chain Planning)

Location: Warsaw, Poland; hybrid work with the option to work from home two days per week

Company

Procter & Gamble is a global consumer goods company producing everyday products across categories such as personal care, household care, and hygiene.

What you will do

• Design, develop, and deploy demand-forecasting models across the full product lifecycle.
• Advance forecasting engines using time-series clustering and statistical or machine-learning methods.
• Lead feature engineering, model evaluation, and forecast-accuracy monitoring at scale.
• Build and maintain robust, configuration-driven data pipelines with Databricks and PySpark.
• Collaborate with cross-functional teams to deliver solutions from prototype through production.
• Contribute to the internal forecasting library and lead teams in data-driven decision-making.

Requirements

• At least 4 years of experience as a Data Scientist or in a related Data Engineer, Software Engineer, AI Engineer, or MLOps role.
• Strong background in time-series forecasting, supervised learning, and statistical or machine-learning algorithms.
• Strong Python skills and hands-on experience with pandas, NumPy, SciPy, scikit-learn, and statsmodels.
• Experience building production-ready, modular pipelines with clean architecture and configuration-driven design.
• Proficiency with Git, strong collaboration and leadership skills, and a Bachelor's degree or higher.
• English proficiency is required.

Nice to have

• Experience with distributed PySpark pipelines on Databricks, SQL, and Azure.
• Exposure to demand or sales forecasting, product-lifecycle modeling, or forecast-accuracy evaluation.
• Background in supply chain or FMCG.

Culture & Benefits

• International Data Science team with global responsibilities and significant engineering and product presence in Warsaw.
• Flexible hybrid working arrangements.
• Private health care, life insurance, stock options, saving plans, lunch subsidy, sport cards, and an in-office fitness center.
• Training, certifications, conference participation, and internal coaching programs.
• Full-time employment exclusively under an Umowa o Pracę (Full-time Employment Contract).