Senior Data Scientist - Supply Chain Forecasting (Hybrid)

Procter & Gamble; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private health care

Life insurance

P&G stock options

Saving plans

Lunch subsidy

Sport cards

In-office fitness center

Job summary

Procter & Gamble in Warsaw is seeking a Data Scientist to design, develop and deploy demand-forecasting models across the product lifecycle. You will advance forecasting engines using time-series techniques and ML, build robust data pipelines with Databricks and PySpark, and collaborate with cross-functional teams from prototype to production.

The role requires a solid data science background, strong Python and the ability to produce production-ready, modular pipelines, plus English proficiency

Qualifications

• Solid Data Science background in time series forecasting, supervised learning and ML/statistical algorithms.
• Strong Python programming with experience in 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 related role (Data Engineer / Software Engineer / AI Engineer / ML Ops).
• English proficiency and a Bachelor's degree.

Responsibilities

• Design, develop, and deploy demand-forecasting models for the full product lifecycle.
• Lead forecasting engine improvements with time-series techniques and ML modeling.
• Lead initiatives on feature engineering, model evaluation, and forecast accuracy.
• Build and maintain robust data pipelines using Databricks and PySpark.
• Collaborate with cross-functional teams from prototype to production.
• Contribute to forecasting libraries and advocate for clean, modular design.
• Lead cross-functional teams and support management with data-driven decisions.

Skills

Time series forecasting

Supervised learning

ML/statistical algorithms

Python

pandas

NumPy

SciPy

PySpark

Databricks

config-driven pipelines

Git

Education

Bachelor's degree

Tools

Databricks

PySpark

Git

Job description

Procter & Gamble in Warsaw is seeking a Data Scientist to design, develop and deploy demand-forecasting models across the product lifecycle. You will advance forecasting engines using time-series techniques and ML, build robust data pipelines with Databricks and PySpark, and collaborate with cross-functional teams from prototype to production.

The role requires a solid data science background, strong Python and the ability to produce production-ready, modular pipelines, plus English proficiency