Data Scientist
Not Disclosed•Full-TimeOn-site
location_onRetaining Wall Access Building, 898, Monastery Street, Mount Adams, Cincinnati, Hamilton County, Ohio, 45202, United States
About the Role
Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), including Generative and Agentic AI, we want you on our team at P&G.
As a Data Scientist, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will constructively research, design, and customize algorithms tailored to various problems and data types. Your work will integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing our analytical capabilities. You will 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. Additionally, you will 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.
Work location
Work model: On-site
Retaining Wall Access Building, 898, Monastery Street, Mount Adams, Cincinnati, Hamilton County, Ohio, 45202, United States
Cincinnati, Ohio
Key Responsibilities
- check_circleDesign and develop scalable Data Science algorithms for business processes
- check_circleCollaborate with engineering teams to productionize AI and machine learning solutions
- check_circleConduct exploratory data analysis, feature engineering, and model building on massive datasets
- check_circleIntegrate Generative and Agentic AI techniques to create dynamic and responsive models
- check_circleQuantify improvements in business outcomes resulting from implemented data science models
- check_circleApply Operations Research, optimization, and simulation techniques to solve complex problems
- check_circleMentor team members as a technical coach and share expertise in Data Science methodologies
Requirements
- verifiedMaster's degree in quantitative field or equivalent work experience
- verifiedProficiency in Python
- verifiedExperience with OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas
- verifiedAbility to develop and test code in cloud environments
- verifiedStrong written and verbal communication skills
- verifiedImmigration sponsorship not available
Nice to Have
Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems. A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques. Experience with large datasets and developing in cloud computing platforms such as GCP or Azure. Familiarity with DevOps environments, including tools like Git and CI/CD practices.
