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Procter & Gamble Data Scientist (m/f/x) in Warsaw, Poland

Job Location

Warsaw

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!

You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a large team of Data Scientists with diverse backgrounds and seniorities whereby you will take ownership of an algorithm/model need - across diverse business and technical domains like Media, Retailing, Supply Chain or HR. With the support of this network, it will be your job to own your algorithms & domain.

With us, you will

  • Mine up to terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business

  • Partner with business leaders to fully understand the problem, and data engineers to automate & deploy your models into applications providing prescriptions to different domains across Sales, Marketing, Product Supply, HR, etc. - that allows P&G to serve consumers worldwide in a better way

  • Utilize P&G's leading AI Factory platform to quickly build sustainable, automatable algorithms

  • Have a deep understanding of Statistics and Machine Learning, Optimisation, and other advanced analytical models – and how to apply them to real-world problems

  • Answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms and automatizing analysis of consumer information or other deep learning data

  • Discover and invent next-generation analytic capabilities for our business partners

  • Own your new creative algorithm-driven applications from design-thinking up to user adoption

  • Team up with technology partners to translate your innovations into robust, scaled, analytic solutions

Job Qualifications

  • Master’s degree in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics)

  • Solid code writing capabilities/software engineering basics - Python is your preferred language

  • Strong technical & analytical skills (ML, Optimization/OR, GenAI applications, Statistics, applied EDA & analysis skills)

  • Basic understanding of Business Intelligence Tools such as PowerBI, Tableau for robust EDA & problem formulation

  • Proven success in leadership, problem-solving and prioritizing

  • Strong collaboration skills and working comfortably across teams

Nice to have

  • Experience with MLOps practices

  • Knowledge with Cloud Infrastructure: Microsoft Azure or Google Cloud Platform

  • Experience with Agile DevOps, Github, Jira, Confluence

What we offer

  • Work in an international team with global responsibilities (and Data Science & AI Engineering teams co-located in Warsaw)

  • Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)

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

  • Internal coaching programs & training

  • Flexible working arrangements

  • A long-term career with development and growth opportunities

    Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

Job Schedule

Full time

Job Number

R000105968

Job Segmentation

Experienced Professionals (Job Segmentation)

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.

The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

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