The next great shift in consumer behavior driven by technological disruption is underway, and it’s happening in the food & beverage industry.
As other sectors have shifted to eCommerce-first business models in recent years, food & beverage has continued to rely predominantly on traditional brick & mortar models, but this is changing rapidly. New technologies are transforming every aspect of reaching consumers, from the rise of digital marketing and online grocery platforms to the creation of supply chain tools that enable speedy at-home delivery. According to the Food Marketing Institute, 70% of U.S. consumers will shop online for groceries by 2024, with an estimated annual spend of $100 billion.
To deepen our efforts to seize this opportunity and lead the food & beverage industry into its remarkable next chapter, PepsiCo – a global company with powerhouse brands including Frito-Lay, Gatorade, Pepsi-Cola, Quaker, and Tropicana – is expanding its Global eCommerce Team. We’re looking for the greatest minds in data & analytics, software development, machine learning optimization, and next-generation supply chain. Given PepsiCo’s incredible reach – our foods and beverages are enjoyed more than one billion times a day in more than 200 countries and territories, and our value chain involves diverse partners ranging from farmers and food scientists to retailers and logistics specialists – the challenges we’re addressing are complex and the solutions will be deeply impactful.
Although PepsiCo is a large multinational, the PepsiCo Global eCommerce Team prides itself on having the entrepreneurial, action-oriented culture of an exciting startup business. Our group includes startup founders, Silicon Valley veterans, food & beverage experts, and seasoned executives from digital transformation leaders such as Amazon and Walmart. Our goal is to build the technological products and capabilities that will reinvent our industry and make us the #1 food & beverage business in eCommerce for decades to come
This role is to build very largely, scalable platforms using cutting edge data technologies, from the ground up and plan to leverage the most recent Big Data technologies, working closely with product engineering teams and data scientists to tackle problems in personalization, content discovery, search, advertising and content production, taking machine learning models in production and enabling data science research and analysis even amongst non-scientists in the company.