Job Information
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.
Procter & Gamble
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