Data Scientist Master's degree (2025 Grads)

Job Location

Cincinnati

Job Description

This role is available to December 2024 and spring 2025 grads.

About our Data Science Team! 

 

At P&G we innovate and discover, we research and collaborate, we make the world a better place by the improving everyday lives of 5 billion people around the world who use and enjoy our products.  We are looking for an experienced Data Scientist to join our dynamic and diverse team to lead Machine Learning or Operations Research.  

 

 

The Opportunity 

 

At P&G, our goal is to empower the business with the algorithms, to augment every important business decision with the outstanding insights provided by the models. As a Data Scientist for P&G you will drive efficiency and impact our business results across a variety of platforms. 

 

Here are a few examples. 

 

• As a Media and Marketing Data Scientist, you will apply predictive power of algorithms to maximize returns and optimize P&G media spend.   

• As a Digital Commerce Data Scientist, you will take methodology of modeling to the e-retail environment, harvesting power of the big data to grow our digital sales through partnering with leading global retailers.  

• As a Supply Chain Data Scientist, you will use optimization and simulation techniques to refine and streamline our manufacturing and supply chain.  

• As a Model Risk Officer, you will partner with other Data Scientists to help improve and validate their models to ensure they are future proofed.  

 

In this role you will 

 

• Lead cross functional teams of Data Scientist, Data Engineers, and Software Developers from the hypothesis to the finished product.   

• Partner with other IT Functions and Business Leaders to build strategy, complete roadmaps for a large organization and communicate to the highest level of the company leadership.  

• Build and own an impactful Data Science team, drive professional development of the team members.  

• Apply detailed technical and business knowledge to feature engineering of substantial datasets, exploratory data analysis, and model building to deliver accurate and impactful business insights.  

• Translate analytic insights into concrete, actionable recommendations for business or product improvement.  

• Quantify improvement in business areas resulting from use of the algorithms and modeling.  Self-motivated individual with a demonstrated ability to balance multiple priorities with a can-do attitude and strong passion for their body of work.  

Job Qualifications

Qualifications

Required   

 

• Master’s degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or have equivalent work experience.  

• Proven leadership in applying and scaling Analytic and Machine Learnings techniques to deliver significant insights from data (in academia or in industry).  

• Knowledge and application of scientific computing methods i.e., Python, R, Scala  

Preferred Qualifications 

 

• Experience in applying analytic mythologies such as Machine Learning, Optimization, and Simulation to a real-world problem. 

• Experience with large data sets and cloud computing.

• Experience with Dev Ops environment: Git, CICD, etc.