Ama Data Scientist

Singapore, Singapore

Job Description


Job Location Singapore



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 Team. 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 IT Senior Manager 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

  • Directly contributes to the design and development of scaled Data Science algorithms.
  • Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
  • Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
Job Qualifications
  • At Least Bachelor Degree in Analytics, Data Science or related field
  • Fresh Graduates are welcome to apply
  • Exposure in 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\xc2\xae, Ariel\xc2\xae, Gillette\xc2\xae, Head & Shoulders\xc2\xae, Herbal Essences\xc2\xae, Oral-B\xc2\xae, Pampers\xc2\xae, Pantene\xc2\xae, Tampax\xc2\xae 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\xe2\x80\x99re 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 \xe2\x80\x9cin touch\xe2\x80\x9d so we craft brands and products to improve the lives of the world\xe2\x80\x99s 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 Schedule Full time

Job Number R000096815

Job Segmentation Recent Grads/Entry Level (Job Segmentation)

Procter & Gamble

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Job Detail

  • Job Id
    JD1399718
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned