Data Scientist

Overview

We are PepsiCo

PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.

We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose. For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.

Seeking a data scientist to join our Advanced Analytics team to create AI/ML predictive and prescriptive analytics products to drive insight-driven decisions towards business growth, productivity and to transform into an insights-driven organization. In keeping with this overarching aim, the data scientist will be required to assign tasks to junior staff and monitor performance within the team. You should also harness their mastery of data science to consult on various aspects of these and other projects. To be successful as a data scientist, you should use data to ultimately inform and promote the company's expansion. The ideal candidate will have a comprehensive working knowledge of statistics, mathematics, machine learning and AI techniques with a deep expertise in data science programming languages (e.g., SQL, R, Python). You should have a proven ability with statistical methods and advanced modelling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.).

As a prominent senior member of the team, you will partner with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions. You will advise on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Also, you will collaborate with our data engineers to gather the right information from our various sources so that you can implement advanced statistical methodologies and design interventions to optimize how our business can best perform.

Responsibilities

•   Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services
•   Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline
•   Perform data mining, exploration, and analysis
•   Design, train, and implement machine learning algorithms
•   Leverage predictive models to optimize customer experiences
•   Creating automated anomaly detection
•   Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests
•   Collating and cleaning data from various entities for later use by junior data scientists
•   Delegating tasks to Junior Data Scientists to realize the successful completion of projects
•   Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed
•   Selecting and employing advanced statistical procedures to obtain actionable insights
•   Cross-validating models to ensure their generalizability
•   Producing and disseminating non-technical reports that detail the successes and limitations of each project
•   Suggesting ways in which insights obtained might be used to inform business strategies
•   Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant
  
  

Qualifications

•   Advanced degree in data science, statistics, computer science, or similar
•   Minimum 7 years’ experience as a data scientist or in analytics field.
•   Proficiency in Python or R
•   Experience with big data analytics technologies such as Spark and Databricks
•   In-depth understanding of SQL
•   Competent in machine learning principles and techniques
•   Demonstrable history of devising and overseeing data-centered projects
•   Ability to relay insights in layman's terms, such that these can be used to inform business decisions
•   Outstanding supervision and mentorship abilities
•   Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
•   Compliance with prevailing ethical standards and responsible AI
  
  

At PepsiCo, you can Dare for Better—helping build a world of greater possibilities, no matter what role you hold. PepsiCo is more than just a food and beverage company. We deliver smiles to foster a better workplace, drive sustainability, and to make a more positive world. We challenge each other to be different, curious, and remarkable. We collaborate, listen, and innovate to move faster and be stronger in the marketplace. And we get to shape our work to fit our lives.

Together, we’ll make a positive impact for good. Because when we Dare for Better, we can smile at what’s next. For our careers, families, communities, and the planet.