Senior Data Scientist — GenAI & Big Data, Warsaw (Hybrid)

Procter & Gamble; Warszawa; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Private health care

Life insurance

P&G stock options

Lunch subsidy

Sport cards

In-office fitness center

Job summary

Procter & Gamble is seeking a Senior Data Scientist in Warsaw to own a business space and build scalable algorithmic solutions. You will work on traditional machine learning, deep learning, GenAI, and optimization models while gaining business context for impact across teams.

You will join a global team of data scientists distributed across the world and contribute to a hybrid work environment. The role emphasizes collaboration, model deployment, and continuous learning.

Qualifications

• Masters in a quantitative degree or equivalent.
• 4-5+ years of production-grade DS experience across the lifecycle.
• Knowledge of cloud infra (Azure, GCP) and Kubernetes.
• Strong coding in Python; Spark experience preferred.
• Solid SQL, optimization and predictive modeling skills.
• Proven leadership and cross-team collaboration abilities.

Responsibilities

• Partner with product and AI teams to deploy models into applications.
• Develop insights to steer algorithm roadmap in own domain.
• Analyze large datasets (e.g., 1.5TB daily touchpoints) to drive recommendations.
• Answer business questions using ML techniques and algorithms.
• Advance ML, statistics, optimization, GenAI knowledge for real-world problems.
• Build resilient production-grade data science pipelines and write quality code.

Skills

Python

Spark

SQL

Machine learning

Leadership

Education

Master's in Statistics/OR/CS

Bachelor's in related field with DS experience

Tools

Databricks

Spark

BigQuery

PowerBI

Kubernetes

Job description

Procter & Gamble is seeking a Senior Data Scientist in Warsaw to own a business space and build scalable algorithmic solutions. You will work on traditional machine learning, deep learning, GenAI, and optimization models while gaining business context for impact across teams.

You will join a global team of data scientists distributed across the world and contribute to a hybrid work environment. The role emphasizes collaboration, model deployment, and continuous learning.