Senior Data Scientist - Model Risk Office

Job Location WARSAW DOWNTOWN OFFICE Job Description 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! 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. With the growth, we are happy to offer Senior Data Scientist roles. This particular role is going to be 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, and the ideal candidate should be able to show both methodology knowledge and business curiosity. For this position, knowledge of Optimization/Operations Research apart from ML is strongly desired. P&G hires for careers, not for roles - in your future roles, you will be able to continue to grow your data science career in another core data science domain, AI Engineering or broader IT if you choose to. In Warsaw Hub we specialize in developing and bringing algorithms to scale, always keeping impact, value, resilience, and reliability in mind. Our work impacts P&G's 100k+ employees and billions of consumers around the world. You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a 200+ global team of Data Scientists across US, Panama, Switzerland, Belgium, Poland, Singapore, India and China. You will be able to network and learn from scientists with diverse backgrounds and seniorities. On top, in our Warsaw Hub, we do plenty of knowledge sharing on a weekly basis and have a unique job setup which will allow you to experience data science beyond your own key scope of responsibilities. Our best-in-class P&G AI Factory platform you will use is an example taught about by Harvard Business School, and we continuously improve our developer experience, thanks to our strong AI Engineering team. With us you will 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 Job Qualifications 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