Job Information
Procter & Gamble Senior Data Scientist (m/f/x) in Warsaw, Poland
Job Location
Warsaw
Job Description
We are looking for a passionate Senior 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. Within that network, it will be your job to formulate the problem, apply state-of-the-art artificial intelligence, use P&G’s big data platforms, and present the results from your algorithms and learn new things to create solutions to real opportunities.
With us you will
Mine 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 Sales and Marketing executives - that allow P&G to serve consumers worldwide in a better way
Have a deep understanding of Statistics and Machine Learning, Optimisation, and other advanced analytical models – and how to apply them to real-world problems
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 and automatizing analysis of consumer information or other deep learning data
Discover and invent next-generation analytic capabilities for our category analysts and 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
2-7 years of commercial experience as a Data Scientist
Master's degree in a quantitative degree (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life-science, Physics etc)
Solid code writing capabilities - Python and Spark preferable
Strong technical & analytical skills (R, SAS, SQL, optimization, simulation, predictive modeling etc.)
Basic understanding of Business Intelligence Tools such as PowerBI, Spotfire, Tableau
Proven success in leadership, problem-solving and prioritizing
Strong collaboration skills and working comfortably across teams
Fluent in English (written and oral)
Nice to have
Experience with Big Data Ecosystem: Spark, MapReduce, SQL, Hive
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 & 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, sport 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
R000101091
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.