P&G

Senior Data Scientist (Supply Chain Planning)

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SeniorZdalnie·WarszawaFull-time

#447899·Dodano 23 dni temu·6

Źródło: P&G

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Tech Stack / Keywords

Python scikit-learnstatsmodelspandas NumPySciPyPydanticGit PySpark Databricks

Firma i stanowisko

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.

Wymagania

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

Obowiązki

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

Benefity

Work in an international Data Science team with global responsibilities and significant engineering and product teams located in Warsaw
Long-term career development and growth opportunities
Competitive salary and benefits including private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, and in-office fitness center
Relevant trainings, certifications, and conference participation
Internal coaching programs and training
Flexible working arrangements including hybrid model with option to work from home two days per week

Opieka zdrowotna

Ubezpieczenie

Udziały pracownicze

Karta sportowa

Inne informacje

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.

P&G

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