Role Overview
We are looking for a passionate Senior Data Scientist who is eager to make an impact on their career and take on a new challenge. The P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others.
This particular role is part of our Model Risk Office, where a team of experienced Data Scientists analyzes data science implementations for methodology and assumption gaps, identifying risk of algorithms under development, and providing guidelines for closing them. We work across methodologies (e.g. ML, optimization/OR, deep learning, GenAI etc) and business domains. For this position, knowledge of Optimization/Operations Research apart from ML is strongly desired.
Responsibilities
- Partner with product teams and business leaders to fully understand the problem, and data science, AI & data engineering teams across the world to ensure they are building reliable algorithmic solutions.
- Develop your insights to guide other data scientists in their work, ensuring they create positive impact to P&G's people and business.
- Be exposed to systems and pipelines utilizing big datasets – e.g., translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations.
- Help data science teams efficiently answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms.
- Further develop understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models – and how to apply them to real-world problems.
- Further learn what it takes to build and maintain a resilient algorithmic pipeline that passes the test of time, and what it takes for an algorithm to materialize its impact and value.
- Review and write production-grade code applying best practices.
Company Background
P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.
What we offer
- Work in an international Data Science team with global responsibilities (with a large part of the engineering and product teams located in Warsaw).
- Long-term career with development and growth opportunities.
- Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center).
- Relevant trainings, certifications, and conference participation.
- Internal coaching programs & training.
- Flexible working arrangements.
- Hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement.
Requirements
- At least a Master's in a quantitative degree (Statistics, Operations Research, Systems Engineering, Computer Science, Applied Math, Economics), Bachelor's/Engineer degree with sufficient consecutive data science experience.
- At least 5 years of experience in Data Science, with at least 3 years of experience with production-grade Data Science / algorithmically enabled applications.
- Solid code understanding and writing capabilities - Python and Spark are preferable.
- Strong technical & analytical skills (machine learning, optimization/operations research, simulation, predictive modeling etc).
- Proven success in leadership, problem solving, and prioritizing.
- Attention to detail, curiosity, strong collaboration skills and working comfortably across teams.
Nice to have
- Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery.
- Basic understanding of Business Intelligence Tools such as Power BI, Tableau.
- Experience with Agile DevOps, Github, Jira, Confluence.
