Data Scientist

Key Skills

Aartificial intelligence, Apache Hive, API, Azure, Continuous Integration & Continuous Delivery - CI/CD, Databricks, DevOps, Github, Google BigQuery, Google Cloud Platform (GCP), JIRA, Machine learning techniques, MapReduce, Python Programming, Scala Programming, SQL

Job Description

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 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 solution for business problems by applying machine learning techniques and algorithms and automatise 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

• At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics).
• Solid code writing capabilities - Python and Spark are 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 prioritising.
• Strong collaboration skills and working comfortably across teams.
• Experience with Big Data Ecosystem: Spark, MapReduce, SQL, Hive - advantageous
• Knowledge with Cloud Infrastructure: Microsoft Azure, Google Cloud Platform - advantageous.
• Experience with Agile DevOps, Github, Jira, Confluence - advantageous.

What we offer

• Work in an international team with global responsibilities (with large part of engineering team 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
• Long-term career with development and growth opportunities

Who we are

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 hardworking 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.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.