Role 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.

• Work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others.
• Take ownership of a particular business space with algorithmic model needs.
• Utilize traditional machine learning, deep learning, GenAI, optimization models, and statistical models as required for the problem.
• Build proven business understanding of your problem space.
• Specialize in developing and bringing algorithms to scale, focusing on impact, value, resilience, and reliability.
• Impact P&G’s 100k+ employees and billions of consumers around the world.
• Join a global team of Data Scientists across various countries.
• Network and learn from scientists with diverse backgrounds and seniorities.
• Participate in knowledge sharing on a weekly basis.
• Experience data science beyond your own key scope of responsibilities.
• Use the best-in-class P&G AI Factory platform.

With us you will:

• Partner with product teams and business leaders to fully understand the problem.
• Collaborate with AI & data engineering teams to automate & deploy your models into applications.
• Develop insights to steer the algorithmic evolution roadmap in your area of ownership.
• Analyze and model on big datasets, 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.
• Learn what it takes to build and maintain a resilient algorithmic pipeline.
• Write production grade code applying best practices.

Qualifications

• At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or Bachelor/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 prioritizing.
• Strong collaboration skills and working comfortably across teams.

Requirements

• 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.

Benefits

• Work in an international Data Science team with global responsibilities.
• 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.