Procter & Gamble is seeking a Data Scientist to solve complex data science problems and enhance business practices through innovative model design. The role involves collaborating with engineering teams, conducting data analysis, and mentoring others in data science techniques.
Directly contribute to the design and development of scalable Data Science algorithms
Work closely with Data and Software Engineering teams to effectively productionize algorithms
Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building
Develop others as a technical coach, sharing your expertise and insights
Become a known expert in one or multiple Data Science techniques and methodologies
Qualification
Required
Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience
Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas
Demonstrated ability to develop and test code within cloud environments
Strong written and verbal communication skills, with the ability to influence others to take action
Preferred
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
Benefit
P&G was founded more than 185 years ago as a soap and candle company.
