
location_onRetaining Wall Access Building, 898, Monastery Street, Mount Adams, Cincinnati, Hamilton County, Ohio, 45202, United States
Do you thrive on tackling billion-dollar data science challenges involving trillions of data points? Are you passionate about breaking new ground where computer science meets hard science? If transforming raw, untidy data into game-changing insights—and surprising business leaders with the power of Generative and Agentic AI—sounds like your mission, then P&G is the place for you.
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. You’ll design and implement advanced models that push the boundaries of AI, optimization, simulation, and machine learning. Your expertise will drive scalable, innovative solutions that combine cutting-edge Operations Research, state-of-the-art machine learning, and next-gen Generative AI and Agentic AI techniques to build dynamic, intelligent systems.
Collaborating closely with our Data and AI Engineering teams, you’ll turn complex algorithms into robust, production-ready products deployed at scale in cloud environments. From exploratory data analysis and feature engineering to delivering actionable insights, your work will directly shape P&G’s competitive edge. Along the way, you’ll grow as a recognized thought leader—mentoring others, sharing your know-how, and quantifying your impact on real-world business outcomes.
Work model: Hybrid
Retaining Wall Access Building, 898, Monastery Street, Mount Adams, Cincinnati, Hamilton County, Ohio, 45202, United States
Cincinnati, Ohio
Experience developing and deploying AI Agents or agentic workflows in major cloud environments. Familiarity with cutting-edge frameworks and techniques, including foundational models, knowledge graphs, and agentic platforms. Commitment to lifelong learning, staying updated on technology trends, and willingness to teach others. Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into.
Skills: Operations Research, Optimization, Simulation, Machine Learning, Tree Models, Deep Learning, Reinforcement Learning, Generative Ai, Agentic Ai, Exploratory Data Analysis.
Education: Bachelor's in a quantitative field required; Master's in a quantitative field required; Doctoral level research in AI/ML may substitute for experience.