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.
In your role, you will take ownership of a particular business space with algorithmic model needs. As a Senior Data Scientist, you are expected to own the algorithmic evolution roadmap and be a thought leader on algorithmic enablement of IT products, as well as share knowledge and mentor other data scientists where applicable. We work all across traditional machine learning, deep learning, GenAI, optimization models, statistical models, adopting methods as required for the problem. To do your job well, you will need to build solid business understanding of your problem space.
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 AI & data engineering teams to automate & deploy your models into applications
Develop your insights to steer the algorithmic evolution roadmap in your area of ownership
Analyze and model on big datasets – e.g., translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations
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
Write production-grade code applying best practices
