Data Scientist: AI & Optimization Innovator

Energy Jobline ZR; Cincinnati (OH); On-site; USD 85,000 - 122,000; Full time

Job summary

Procter & Gamble is seeking a Data Scientist in Cincinnati to design and implement scalable AI/ML models across massive datasets. You will work at the intersection of computer science and hard science, turning untidy data into actionable insights and mentoring others in advanced data techniques.

The role emphasizes Generative and Agentic AI, productionizing solutions with Data and AI Engineering teams in a cloud environment, and delivering measurable business impact.

Qualifications

• Pursuing or has graduated with a Master’s degree in a quantitative field.
• Proficient in Python and familiar with libraries OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas; able to develop and test code in the cloud.
• Strong communication skills, with the ability to influence others.

Responsibilities

• Design and development of scalable Data Science algorithms.
• Collaborate with Data and Software Engineering teams to productionize algorithms.
• Apply exploratory data analysis, feature engineering, and model building on large datasets.
• Coaching and mentorship of others as a technical coach.
• Develop as an expert in Data Science techniques and methodologies.

Skills

Python

OpenCV

scikit-learn

PyTorch

TensorFlow/Keras

Pandas

Cloud environments

Education

Master’s degree in a quantitative field

Tools

Git

CI/CD

GCP

Azure

Job description

Procter & Gamble is seeking a Data Scientist in Cincinnati to design and implement scalable AI/ML models across massive datasets. You will work at the intersection of computer science and hard science, turning untidy data into actionable insights and mentoring others in advanced data techniques.

The role emphasizes Generative and Agentic AI, productionizing solutions with Data and AI Engineering teams in a cloud environment, and delivering measurable business impact.