SENIOR DATA SCIENTIST - MODEL RISK

Key Skills

Java Programming, Python Programming, SQL, Azure, AWS, Big Data Technology, Google Cloud Platform (GCP), Databricks

Job Description

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 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. We are accountable for assessing a broad range of applications and modeling techniques. The model risk management team serves as the 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:

• Utilize and enhance model risk management frameworks
• Activate organization-wide practices of model development, execution and monitoring activities for evaluating model performance
• Perform model risk assessments

Qualifications

Qualifications

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 2 years of experience, or PhD in in “STEM” field plus 2 years of experience in Data Science.
• At least 2 years of experience with model validation, back testing, and other model risk management activities.
• Solid Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Scientific Computing: Python
• Strong written and verbal communication skills to influence others to take action and the technical courage to speak your mind and learn from failure.
• Ability to balance multiple priorities.
• Good communication skills, self-motivated, dynamic with a can-do attitude.
• Strong enthusiasm and curiosity about the intersection of business and technology

Preferred Experience with:

• Unix/Linux
• Big Data Ecosystem: Databricks, SQL
• High-Performance Parallel and Distributing Computing
• GCP, Azure, or AWS
• Disrupting current business practices in CPG or related industries to help craft new go-to-market models.