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Experienced Data Scientist (Machine Learning and Operations Research)
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.
Would you enjoy solving billion-dollar data science problems across trillions of data points?
How would you like to own a complex modeling pipeline end-to-end, in close partnership with business leadership?
Would you like to work with innovative data science technology and have access to the state-of-the-art infrastructure?
Would you be interested in turning untidy data into non-obvious insights, challenging the ways the business is done and surprising business leaders with the power of algorithms?
If this answer is YES, then look no further because a long-term career in Data Science at P&G is something we cultivate from Day1!At P&G, you will find yourself among a team of diverse and dynamic professionals who are interested in your ideas, willing to help you to explore them, see them through, and collectively learn from them.You will find yourself in an environment where discussion and experimentation are encouraged and where failed experiment is seen as a learning opportunity rather than personal failure. We move forward by collaboration and share the results of our work, we debate the ideas, and we always respect each other, we call it the “Learning Culture.”
At P&G, our goal is to empower the business with the algorithms, to augment every important business decision with the superior insights provided by the models.As a Data Scientist for P&G you will drive productivity 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 futureproofed.
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, execute roadmaps for a large organization and communicate to the highest level of the company leadership.
Build and lead a high performing Data Science team, drive professional development of the team members.
Apply thorough technical and business knowledge to feature engineering of massive 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 handle multiple priorities with a can-do attitude and strong enthusiasm for their body of work.
5+ years of relevant work experience in Data Science organization, preferably in the CPG (Consumer Packaged Goods) industry.
Master’s degree or higher is preferred in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or have equivalent work experience.
Record of accomplishment of building scalable customer facing machine learning products.
Knowledge and application of scientific computing methodsi.e., Python, R, Scala
Experience in one of more advanced analytic mythologies such as Machine Learning, Optimization, Simulation.
Experience with large data sets and cloud computing.
Experience with Dev Ops environment: Git, CICD, etc.
P&G is an equal opportunity employer.
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