Data Scientist

Procter & Gamble (P&G)

Warsaw, Poland
Hybrid
Python (pandas, numpy, scikit-learn)
SQL
Microsoft azure (adf, blob)
Design and deploy scalable ML models for forecasting, optimization, and product performance analysis

Job Summary

  • Design and deploy scalable ML models for forecasting, optimization, and product performance analysis.
  • Collaborate with stakeholders to turn business needs into data-driven solutions and experiment with LLMs.
  • Gain exposure to modern ML practices and large-scale business applications with opportunities for growth.

Matching Summary

Design and deploy scalable ML models for forecasting, optimization, and product performance analysis.

Skills & Requirements

Must-have

  • Python (Pandas, NumPy, scikit-learn)
  • SQL
  • Microsoft Azure (ADF, Blob)
  • Databricks, MLflow
  • Git
  • MLOps principles
  • end-to-end ML projects

Nice-to-have

  • LLM experimentation
  • causal inference
  • product-facing data science
  • UX for data apps
  • agile work environment

Key Requirements

  • Solid experience in data science / ML workflows
  • Strong skills in data preprocessing, feature design, and model evaluation
  • Familiarity with APIs, automation workflows

Work Rights

Not specified

Tailored Resume

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