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PhD 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 Day 1! 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 Technical innovation. Constructively Disrupt current Data Science practices and design new and better models that deliver better business insights, new go-to-market models.
Proactively identify and bring in new technology to the P&G Data Science Team.
As a technical coach, develop others. Lead or actively participate and contribute to a community of practice group. Become a known expert on one or multiple Machine Learning techniques.
Apply thorough technical knowledge of feature engineering of massive datasets, exploratory data analysis, and model building to deliver accurate and impactful business insights.
Directly contribute to the design and development of scaled machine learning algorithms.
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.
Work with the Data and Software engineering teams to productionize algorithms.
Pursuing or has graduated with a PhD 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 meaningful insights from data (in academia or in industry).
Knowledge and application of scientific computing methods i.e., Python, R, Scala
Strong written and verbal communication skills to influence others to act.
Experience in applying analytic mythologies such as Machine Learning, Optimization, and Simulation to a real-world problem.
Be a continuous learner. Keep up to date with the latest technology trends. Be willing to both teach others and learn new techniques.
Experience with large data sets and cloud computing: GCP, Azure.
Experience with Dev Ops environment: Git, CICD, etc.
P&G is an equal opportunity employer.
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