Senior Data Scientist — Scale Algorithms & Impact

Procter & Gamble

Poland

On-site

PLN 180,000 - 280,000

Full time

3 days ago
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Benefits offered by this job

International data science team
Career growth opportunities
Competitive salary & benefits
Training & conference participation
Flexible working arrangements

Job summary

Procter & Gamble in Warsaw is seeking a Senior Data Scientist to take ownership of a business space with algorithmic model needs. You will work across ML, deep learning, GenAI, and optimization models to deliver measurable impact for billions of consumers and a global dataset.

You will join a world-class team of data scientists across the globe and help scale our AI Factory platform with production-grade code and resilient pipelines.

Qualifications

  • Masters in a quantitative field or equivalent experience.
  • 4–5 years of production-grade DS experience across the algorithmic lifecycle.
  • Strong coding and data analytics skills; excellent collaboration.

Responsibilities

  • Own an algorithmic model space and partner with product teams.
  • Develop insights to steer the algorithm evolution roadmap.
  • Model on large datasets and translate to actionable recommendations.
  • Apply ML, statistics and optimization methods to business problems.
  • Build resilient production-grade data pipelines and code.

Skills

Python
Spark
SQL
Cloud platforms
GenAI
Optimization
Leadership
Collaboration

Education

Master's degree (quantitative)
Bachelor/Engineer with data science experience

Tools

Databricks
BigQuery
PowerBI
Tableau
Github
Jira
Confluence

Job description

Procter & Gamble in Warsaw is seeking a Senior Data Scientist to take ownership of a business space with algorithmic model needs. You will work across ML, deep learning, GenAI, and optimization models to deliver measurable impact for billions of consumers and a global dataset.

You will join a world-class team of data scientists across the globe and help scale our AI Factory platform with production-grade code and resilient pipelines.

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