Data Science (Master's degree) (2027 Grads)

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work?

Data Science is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear– we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver groundbreaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our innovative shared services organization, your technical skills will be recognized and rewarded. Your real passion for the industry will be further cultivated by our culture of continued learning and growth as a Data Science professional.

In this role, you will be using Big Data and advanced analytics to advise the engagement of our business leaders. You’ll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can implement research and analytics, including data source identification, processing, model/algorithm development. Ultimately you will be turning insights into measurable recommendations which will drive business value creation.

• Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.
• Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.
• Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.
• Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.
• Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

• You are graduating in the Spring or Summer of 2027 with a Master’s degree in Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field., * Proven leadership in applying and scaling Analytic techniques to deliver measurable insights from data.
• Strong written and verbal communication skills to influence others to take action
• Proven ability to balance multiple priorities
• Comfort working with diverse business scenarios and possessing strong thinking/problem-solving skills to business processes with a “can-do” attitude
• Strong passion and curiosity about the intersection of business and technology
• Preferred Experience with Analytical Tools/Applications:
• Unix/Linux
• Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv
• Scientific Computing: R, Python, C++, Java, Scala,
• High-Performance Parallel and Distributing Computing
• Deep Learning frameworks: Keras, Tensorflow
• Data Visualization
• Data Management Systems
• Business Intelligence tools: such as KNIME, Tableau

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.

The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.