Senior Data Scientist - Model Risk Office

P&G Scaled Data Science Hub in Warsaw is a growing team impacting key algorithmic investments across Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management, and more. The role is part of the Model Risk Office, where data scientists analyze data science implementations for methodology and assumption gaps, identifying risks and providing guidelines. The Warsaw Hub specializes in developing scalable algorithms impacting P&G's global employees and consumers.

• Master's degree in a quantitative field or Bachelor's/Engineer with sufficient data science experience.
• At least 5 years of data science experience, including 3 years in production-grade data science applications.
• Strong coding skills in Python and preferably Spark.
• Strong technical and analytical skills including machine learning, optimization/operations research, simulation, and predictive modeling.
• Proven leadership, problem solving, and prioritization capabilities.
• Attention to detail, curiosity, and strong collaboration skills across teams.

Nice to have:

• Experience with Big Data ecosystem: Databricks, Spark, BigQuery.
• Basic understanding of BI tools such as Power BI, Tableau.
• Experience with Agile DevOps, Github, Jira, Confluence.

• Partner with product teams and business leaders to understand problems and ensure reliable algorithmic solutions.
• Develop insights to guide other data scientists in creating positive business impact.
• Work with systems and pipelines handling large datasets, including consumer touchpoints and behavior data.
• Help data science teams address business questions with machine learning techniques and algorithms.
• Deepen understanding of machine learning, statistics, optimization, and GenAI application.
• Maintain resilient algorithmic pipelines for sustained impact and value.
• Review and write production-grade code using best practices.

Employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.