The candidate must have a completed Bachelor's or graduate degree within one year of internship completion, development experience in programming languages such as Python or Java, familiarity with data science tools including NumPy and Tensorflow, expertise in mathematical models, experience in designing systems to solve business problems, and effective communication skills.

The candidate will be responsible for collaborating on high-visibility data science projects that have a global impact, including tasks such as geo-temporal analysis, conditional forecasting, and reinforcement learning optimization systems. They will also have the opportunity to propose new tasks, manage multiple projects simultaneously, and meet with business stakeholders to design products based on their needs.

Data

United States

New York

Well-being

Retirement Benefits

Health and Insurance Benefits

Fortune 500

PepsiCo is a playground for curious people. We invite thinkers, doers, and changemakers to champion innovation, take calculated risks, and challenge the status quo. From executives to team members on the front lines, we’re excited about the future. We take chances. Together, we dare to make the world a better place.

Our associates are the magic ingredient. Each of them plays an integral role in helping create deep connections between people and our products. Think about your last group celebration: Chances are, one of our iconic brands was by your side. At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day.

A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.

Retail & Consumer Goods

PepsiCo

Food & Beverage

<ul><li>PepsiCo operates in an environment undergoing immense and rapid change, driven by eCommerce and emergent retail technologies. To ensure continued success in the food and beverage space, PepsiCo has assembled a dedicated eCommerce team – tasked with optimizing eCommerce operations and developing innovations that will give PepsiCo a sustainable competitive advantage. While tied closely to broader PepsiCo, the eCommerce group more closely resembles a start-up environment; embracing the core values of having bias for action, being results oriented, maintaining a community-focus, and prioritizing people.</li><li>PepsiCo’s Data Science and Analytics group is a team of data scientists, technology specialists, and business innovators who operate within eCommerce to build industry-leading systems and solutions. By focusing on machine learning and automation, the Data Science &amp; Analytics group is pushing the bounds of possibility for PepsiCo and its strategic partners.</li><li>Build machine learning systems to understand the cross-channel grocery ecosystem</li><li>Perform statistical analysis across diverse datasets to drive and measure performance</li><li>Work with PepsiCo’s strategic partners to expand their technical capabilities, thereby creating a more robust data environment</li><li>Utilize natural language understanding techniques to uncover insights from contextual data</li><li>Develop scalable tools to drive automation and optimize business operations</li><li>As a Data Science Intern, you will play a critical role in executing the global ecommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the larger data science and analytics teams to create a robust, shared codebase; on which PepsiCo will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.</li></ul>

Bachelors

PepsiCo operates in an environment undergoing immense and rapid change, driven by eCommerce and emergent retail technologies. To ensure continued success in the food and beverage space, PepsiCo has assembled a dedicated eCommerce team – tasked with optimizing eCommerce operations and developing innovations that will give PepsiCo a sustainable competitive advantage. While tied closely to broader PepsiCo, the eCommerce group more closely resembles a start-up environment; embracing the core values of having bias for action, being results oriented, maintaining a community-focus, and prioritizing people.PepsiCo’s Data Science and Analytics group is a team of data scientists, technology specialists, and business innovators who operate within eCommerce to build industry-leading systems and solutions. By focusing on machine learning and automation, the Data Science & Analytics group is pushing the bounds of possibility for PepsiCo and its strategic partners.Build machine learning systems to understand the cross-channel grocery ecosystemPerform statistical analysis across diverse datasets to drive and measure performanceWork with PepsiCo’s strategic partners to expand their technical capabilities, thereby creating a more robust data environmentUtilize natural language understanding techniques to uncover insights from contextual dataDevelop scalable tools to drive automation and optimize business operationsAs a Data Science Intern, you will play a critical role in executing the global ecommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the larger data science and analytics teams to create a robust, shared codebase; on which PepsiCo will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.

2024 Summer Intern: eCommerce Data Science

Requirements

Responsibilities

PepsiCo

Mission & Purpose

Benefits

Well-being

Retirement Benefits

Health and Insurance Benefits