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.
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.
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