Senior Data Scientist — Hybrid, GenAI & Big Data Impact

Procter & Gamble

Warszawa

Hybrid

PLN 260,000 - 380,000

Full time

14 days+
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Benefits offered by this job

Private health care
Life insurance
P&G stock options
Saving plans
Lunch subsidy
In‑office fitness center

Job summary

Procter & Gamble is seeking a Senior Data Scientist to drive algorithmic solutions across retail, digital commerce and supply chain in Warsaw. You will own business space models, partner with product teams, and deploy scalable analytics to business stakeholders.

We value deep statistical expertise, cloud experience, and a track record of delivering production-grade ML systems. P&G offers a hybrid work setup, competitive compensation, and extensive learning opportunities.

Qualifications

  • Masters in Statistics, OR, CS, Applied Math, Economics or equivalent with data science experience.
  • 4–5+ years of production-grade data science experience across lifecycle.
  • Experience with cloud platforms: Azure or GCP and Kubernetes.
  • Strong Python/Spark coding skills and SQL proficiency.
  • Proven leadership, collaboration, and prioritisation abilities.

Responsibilities

  • Own algorithmic model development for a defined business space.
  • Translate business problems into data science solutions and deploy models to production.
  • Work with product teams to understand problems and drive roadmap.

Skills

Python
Spark
SQL
Cloud infra
Kubernetes
GenAI
Leadership

Education

Master's degree in quantitative field

Tools

Databricks
BigQuery
Azure/GCP

Job description

Procter & Gamble is seeking a Senior Data Scientist to drive algorithmic solutions across retail, digital commerce and supply chain in Warsaw. You will own business space models, partner with product teams, and deploy scalable analytics to business stakeholders.

We value deep statistical expertise, cloud experience, and a track record of delivering production-grade ML systems. P&G offers a hybrid work setup, competitive compensation, and extensive learning opportunities.

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