Overview
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 have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, 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.
Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.
What we Offer: Continuous mentorship – you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment– employees are at the center, we value every individual and support initiative, promoting agility and work/life balance.
What Success Looks Like
As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes.
Research, design, and customize algorithms tailored to various problems and data types.
Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), contribute to the development of scalable Data Science algorithms.
Integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities.
Collaborate with Data and AI Engineering teams to productionize these solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights.
Mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work.
What we offer you
Responsibilities from Day 1 – You will start of working on key brands from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership of a brand will quickly grow.
Recognized state of the art marketing skills – We will constantly help you improve your marketing knowledge and management abilities.
Continuous mentorship– We are passionate about our work. We will make sure you receive both formal training and regular mentorship from your manager and others.
Dynamic and respectful work environment – We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.
A strong pedigree - Majority of our General Managers and CEOs come through Brand Management. And you will be the next.
Your team
You and other Data Scientists will report to Data Science Director. You would be partnering with domain experts in different business units, understanding the problem, designing solution trajectories, solving the problem, innovating new capabilities, and collaborating with Data and AI Engineering teams to translate your efforts into robust, scaled, and reliable solutions.
Responsibilities of the role
We need someone who can:
Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
Collaboration: Work closely with Data and AI Engineering teams to effectively productionize algorithms.
Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies
