Job Description

We are looking for a passionate 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.

In your role, you will take ownership of a particular business space with algorithmic model needs. 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 proven 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 world-class 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 a diverse set of 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 own 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 solution 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 to real world problems
• Further learn what it takes to build and maintain a resilient algorithmic pipeline which passes the test of time, and what it takes for an algorithm to materialize it's impact and value
• Write production grade code applying best practices.

Job Qualifications

• At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or
• Barchelor/Engineer degree with consecutive data science experience
• At least 2 years experience with production grade Data Science / algorithmically enabled applications
• Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
• Solid code writing capabilities - Python and Spark are preferable
• 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

Nice to have:

• Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
• Basic understanding of Business Intelligence Tools such as PowerBI, Tableau
• Experience with Agile DevOps, Github, Jira, Confluence - advantageous

What we offer

• Work in an international Data Science team with global responsibilities (with large part of 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, sport cards, in-office fitness center)
• Relevant trainings, certifications, conference participation
• Internal coaching programs & training
• Flexible working arrangements