Data Scientist

Job description

Description

Overview
Do you love building algorithms and analytic frameworks? How about doing Model Risk Management? If this sounds exciting, we would love to hire someone with your skills and abilities!

As a Data Scientist in P&G, you build algorithms targeted at transforming strategic decisions and operations by bringing advanced analytics and cognitive science into our core work processes.

Your Team
This position is part of the P&G Data Science Model Risk Team. This team serves as a center of excellence that drives tools and platforms that enable data scientists across the enterprise to deliver business-critical analytics to the cloud while maintaining high standards for quality and risk management. This role is located in Singapore and you will be part of regional Data Science team for Asia-Pacific Middle East (AMA) headquarters. You will report to an IT Director and be accountable to a multi-functional team.

What Success Looks Like
You have a passion for using advanced machine learning methods to solve challenging Research and Development problems. You will do comprehensive model reviews to ensure they are sound in helping to grow our billion-dollar brands and broaden our consumer basis.

You should be able to navigate across a diverse array of modelling applications, and provide advice and consultation to senior business leaders.

Responsibilities of the role

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

Qualifications

·  Master’s Degree or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
·  3-7 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 http://www.pg.com 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.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Job locations:
Singapore, Singapore, Singapore Job Type: Full-time Job categories: Information Technology Req No: IT 00002724