Senior Data Scientist

Procter & Gamble (P&G)

Warsaw, Poland
Hybrid (2 days remote, 3 days onsite)
Production grade data science experience
Cloud infrastructure knowledge (azure, gcp, kubernetes)
Python and spark coding capabilities
Procter & Gamble (P&G) is seeking a Senior Data Scientist for their Warsaw office to enhance various algorithmic projects across the company. The ideal candidate will have a strong background in data science, machine learning, and cloud infrastructure, with a focus on improving Human Resources processes

Job Summary

  • Partner with product teams and business leaders to understand problems and deploy models into applications.
  • Analyze and model on big datasets, translating consumer behaviors into actionable recommendations.
  • Work in an international Data Science team with global responsibilities and long-term career growth opportunities.

Matching Summary

Match Score: 85

Procter & Gamble (P&G) is seeking a Senior Data Scientist for their Warsaw office to enhance various algorithmic projects across the company. The ideal candidate will have a strong background in data science, machine learning, and cloud infrastructure, with a focus on improving Human Resources processes.

Skills & Requirements

Must-have

  • Production grade Data Science experience
  • Cloud Infrastructure knowledge (Azure, GCP, Kubernetes)
  • Python and Spark coding capabilities
  • SQL, optimization, simulation, predictive modeling

Nice-to-have

  • Big Data ecosystem experience (Databricks, Spark, BigQuery)
  • Business Intelligence Tools (PowerBI, Tableau)
  • Agile DevOps, Github, Jira, Confluence

Key Requirements

  • 4-5 years experience with production grade Data Science / algorithmically enabled applications
  • Masters in a quantitative degree or Bachelor/Engineer degree with consecutive data science experience
  • Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
  • Python and Spark coding capabilities
  • Strong technical & analytical skills (SQL, optimization, simulation, predictive modeling etc)
  • Proven success in leadership, problem solving and prioritising
  • Strong collaboration skills and working comfortably across teams

Work Rights

Not specified

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