Sr. Data Scientist - AI/ML

About the role

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.

Key Responsibilities

• Invent and Innovate: Lead the design and development of cutting-edge data science and AI algorithms that challenge the status quo
• Collaborate to Scale: Partner with engineering teams to productionize and deploy scalable, high-impact solutions
• Master Large and Complex Data: Drive exploratory analysis, feature engineering, and modeling on massive datasets using cloud tools and platforms
• Deliver Impact: Translate complex data into strategic insights that transform business decisions and outcomes

Job Qualifications

• Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.)
• 5+ years of experience in Data Science or related field, with proven record of business impact
• Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience
• Proficient in programming languages such as Python and familiar with major Data Science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas
• Demonstrated ability to develop and test code within cloud environments
• Experience with large datasets and developing in cloud computing platforms such as GCP or Azure
• Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems
• Familiarity with DevOps environments, including tools like Git and CI/CD practices
• Strong written and verbal communication skills, with the ability to influence others to take action
• Ability to work onsite in Cincinnati, OH based office on a hybrid work schedule

Preferred

• Agentic Development: Has experience developing and deploying AI Agents or agentic workflows in any of the major cloud environments
• Familiarity with cutting-edge frameworks and techniques: In this constantly evolving space, evidence of experimenting with the latest releases in foundational models, knowledge graphs, agentic platforms, and the broader AI field
• A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques
• Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into