PepsiCo Careers

eCommerce Data Science Intern

United States
eCommerce

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United States - English

Job Description

Auto req ID: 153187BR

Job Description

Nationwide Opportunities- Please Read:
Just because this role looks like it's located in Purchase, NY doesn't mean it is! At PepsiCo we place Campus Interns/ Full- Time and Graduate hires in roles nationwide across both field and headquarter locations. Field based roles will only be placed in the field.

We are PepsiCo
PepsiCo is a global food and beverage leader operating in more than 200 countries with a product portfolio that includes 22 world-famous, billion-dollar brands. From Gatorade to Quaker, to LIFEWTR, to Lay’s, we make hundreds of enjoyable foods and beverages that are loved throughout the world.

Innovation is a critical way we impact the market, as well as communities around the globe. We believe there is value in products, people, and planet. And we strive to make a difference by creating solutions that leave a lasting positive footprint.

Our culture is driven by our employees. No two days are the same; we’re dynamic and full of dionate teams embracing new ideas through our collaborative spirit. At PepsiCo, What Makes You Unique, Makes Us Better!

Functional Description:
Across PepsiCo, we continue to build new capabilities that will be critical to achieving long-term, sustainable growth. The operating environment in which we do business is undergoing immense change, and it’s imperative that we transform in ways that enable us to meet the future needs of our customers and consumers. Digital technology is one such force of change, and the way we interact with retailers, shoppers and consumers is evolving at a dramatic pace. The impact of Digital / eCommerce has fundamentally evolved and in some cases transformed almost every consumer segment with groceries / consumables being the next space that external experts and large players (e.g., Amazon, Walmart) are betting on. As a result, e-commerce is one of the fastest-growing areas within the consumer products industry and represents a significant opportunity to accelerate growth for PepsiCo going forward.
To ensure we win in this space we have established a dedicated eCommerce group, bringing together world class talent across F&B, digital, and key customers. While tied closely to broader PepsiCo, the eCommerce group has a unique start-up feel and defined values that embrace a more entrepreneurial mindset: bias for action; results oriented; community-focused; prioritization of people.
In order to maintain the necessary pace to meet the growth targets and compete effectively against start-ups or technology competitors requires a step-change in our thinking and traditional approaches to data science. Accordingly, this role will play a critical effort in shaping and executing the global eCommerce growth agenda through leveraging subject matter expertise in machine learning modeling and analysis. S/he will be tasked with partnering across the team to execute on growth opportunities and technical initiatives. Successful performance in the role is measured by quality and impact of this work.

What you can expect:

  • Participation in high-visibility Data Science projects in collaboration with a data science/analytics team with a large impact on a global organization
  • Projects range from geo-temporal analysis, conditional forecasting, unsupervised opportunity analysis, and reinforcement learning optimization systems
  • Specific tasks assigned will be collaborative, and will depend on a combination of business need, team prioritization, and the intern’s personal interest/expertise.
  • Opportunities to propose new/incremental tasks to suit business use cases
  • Quick release cycle and managing the technical aspect of multiple projects simultaneously as they develop
  • Meet with non-data science business stakeholders to set expectations and design products based on business needs

Qualifications/Requirements

What we’re looking for:

  • Participation in high-visibility Data Science projects in collaboration with a data science/analytics team with a large impact on a global organization
  • Projects range from geo-temporal analysis, conditional forecasting, unsupervised opportunity analysis, and reinforcement learning optimization systems
  • Specific tasks assigned will be collaborative, and will depend on a combination of business need, team prioritization, and the intern’s personal interest/expertise.
  • Opportunities to propose new/incremental tasks to suit business use cases
  • Quick release cycle and managing the technical aspect of multiple projects simultaneously as they develop
  • Meet with non-data science business stakeholders to set expectations and design products based on business needs

Minimum Qualifications:
  • Master’s degree completed within one (1) year of internship completion
  • Minimum 1-3 years’ experience/familiarity with SQL and Python (Tensorflow experience preferred)
  • Experience developing deep learning systems (software release experience preferred)
  • Understanding of deep reinforcement learning systems
  • Experience in market data science modeling and analysis. eCommerce / Digital space experience preferred
  • Demonstrated problem solving skills
  • Highly organized with careful attention to detail
  • Ability to work and influence cross-functionally
  • Excellent verbal and written communication skills, especially when talking about business implications of technical capabilities.
  • Embodies entrepreneurial mindset and key values of having a bias for action, results-oriented, community-focused, and prioritization of people.

Relocation Eligible: Not Eligible for Relocation


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

For San Francisco Bay Area: Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy

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