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About the Role

As a Data Scientist, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will research, design, and customize algorithms tailored to various problems and data types, utilizing expertise in Operations Research and machine learning models. Integrate advanced techniques from Generative and Agentic AI to create more dynamic and responsive models, enhancing analytical capabilities. Collaborate with Data and AI Engineering teams to productionize solutions, applying exploratory data analysis, feature engineering, and model building within cloud environments on massive datasets to deliver accurate and impactful insights. Mentor others as a technical coach and become a recognized expert in Data Science techniques, quantifying business outcome improvements.

Responsibilities

Directly contribute to the design and development of scalable Data Science algorithms.
Work closely with Data and AI 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.

Requirements

Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.).
2-5 years of relevant work experience in Data Science.
Proficient in programming languages such as Python.
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.
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.

Skills

Operations Research
Optimization
Simulation
Machine Learning
Tree Models
Deep Learning
Reinforcement Learning
Generative AI
Agentic AI
Exploratory Data Analysis
Feature Engineering
Model Building
Python
OpenCV
scikit-learn
PyTorch
TensorFlow/Keras
Pandas
Cloud Environments
GCP
Azure
DevOps
Git
CI/CD

Location

SINGAPORE GENERAL OFFICE

Work Type

Full time
Onsite

Experience Level

2-5 years
Experienced Professionals

Education Level

Bachelor's
Master's
Postgraduate

Benefits

Responsibilities from Day 1
Continuous mentorship
Dynamic and respectful work environment
Formal training
Regular mentorship from manager and others

About the Company

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.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company.
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, HIV/AIDS status, or any other legally protected factor.