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Data Scientist Model Risk

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Would you love to work with a diverse, global team of Data Scientists to help improve their models and algorithms? At P&G, we use advanced machine learning methods to tackle challenging business problems at industrial scale across Marketing, Sales, Supply Chain, and Research and Development. You will work across the breadth of our modeling efforts to identify potential risks in our data, models, and pipelines.

You will be joining the P&G Data Science Model Risk Team. You will do comprehensive model reviews to ensure they are sound in helping grow our portfolio of billion-dollar brands. Data and model failures result from data and modeling errors, shifting processes and technology, and unexpected external shocks. It is our job to learn from past mistakes, anticipate future challenges, and develop techniques to avoid their repetition. Across P&G’s variety of marketing, Sales, and Supply Chain modeling applications, we are accountable for assessing a broad range of applications and modeling techniques. The model risk management team serves as a center of excellence that drives tools and platforms that enable data scientist across the enterprise to deliver business-critical analytics to the cloud while maintaining high standards for quality and risk management.

In this role, you will:

  • Lead Model risk assessments within our portfolio across the model lifecycle from POC to Deployment
  • Collaborate with model developers on Model Maintenance Requirements
  • Develop and enhance model risk management frameworks



  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 6 years of experience, or PhD in in “STEM” field plus 3 years of experience in data analytics.
  • At least 2 years of experience with model validation, back-testing, and other model risk management activities.
  • Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
  • Strong written and verbal communication skills to influence others to act
  • Ability to balance multiple priorities
  • Good social skills, self-motivated, dynamic and can-do attitude
  • Strong enthusiasm and curiosity about the intersection of business and technology
  • Preferred Experience with Analytical Tools/Applications including:
  • Unix/Linux
  • Big Data Ecosystem: Databricks, Spark, SQL
  • Deep Learning frameworks: Keras, Tensorflow
  • Scientific Computing: Python, C++, Java, Scala,
  • High-Performance Parallel and Distributing Computing
  • GCP, Azure, or AWS

About us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor.

Immigration sponsorship is not available for this role. As a general matter, Procter & Gamble does not sponsor candidates for nonimmigrant visas or permanent residency. However, Procter & Gamble may make exceptions on a discretionary basis. Any exceptions would be based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.MQualificlearly detai
Job locations:
Cincinnati, Ohio, United States
Job Type: Full-time Job categories: Information Technology Req No: IT 00002592
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