Data Scientist

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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.

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  Work across problems and algorithmic products related to Retail, Media, Digital commerce, R&D, Supply Chain, Productivity, Knowledge management and others.
  


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  Take ownership of a particular business space with algorithmic model needs.
  


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  Utilize traditional machine learning, deep learning, GenAI, optimization models, and statistical models as required for the problem.
  


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  Build proven business understanding of your problem space.
  


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  Specialize in developing and bringing algorithms to scale, focusing on impact, value, resilience, and reliability.
  


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  Impact P&G's 100k+ employees and billions of consumers around the world.
  


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  Join a global team of Data Scientists across various countries.
  


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  Network and learn from scientists with diverse backgrounds and seniorities.
  


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  Participate in knowledge sharing on a weekly basis.
  


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  Experience data science beyond your own key scope of responsibilities.
  


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  Use the best-in-class P&G AI Factory platform.
  

With us you will:

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  Partner with product teams and business leaders to fully understand the problem.
  


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  Collaborate with AI & data engineering teams to automate & deploy your models into applications.
  


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  Develop insights to steer the algorithmic evolution roadmap in your area of ownership.
  


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  Analyze and model on big datasets, translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations.
  


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  Answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms.
  


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  Further develop understanding of machine learning, statistics, optimization, GenAI, and other advanced analytical models.
  


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  Learn what it takes to build and maintain a resilient algorithmic pipeline.
  


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  Write production grade code applying best practices.
  

Qualifications

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  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.
  


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  At least 2 years experience with production grade Data Science / algorithmically enabled applications.
  


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  Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes.
  


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  Solid code writing capabilities - Python and Spark are preferable.
  


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  Strong technical & analytical skills (SQL, optimization, simulation, predictive modeling etc).
  


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  Proven success in leadership, problem solving and prioritizing.
  


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  Strong collaboration skills and working comfortably across teams.
  

Requirements

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  Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery.
  


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  Basic understanding of Business Intelligence Tools such as PowerBI, Tableau.
  


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  Experience with Agile DevOps, Github, Jira, Confluence - advantageous.
  

Benefits

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  Work in an international Data Science team with global responsibilities.
  


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  Long-term career with development and growth opportunities.
  


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  Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center).
  


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  Relevant trainings, certifications, conference participation.
  


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  Internal coaching programs & training.
  


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  Flexible working arrangements.
  

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