• Job Description

  Req#: 240128
  Overview Nationwide Opportunities At PepsiCo, we place Campus Intern hires in roles across our headquarter location in Plano, TX. We are PepsiCo PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $79 billion in net revenue in 2021, driven by a complimentary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales. Guiding PepsiCo is our vision to Be the Global Leader in Beverages and Convenient Foods by Winning with PepsiCo Positive (pep+). pep+ is our strategic end-to-end transformation that puts sustainability at the center of how we will create value and growth by operating within planetary boundaries and inspiring positive change for planet and people. For more information, visit www.pepsico.com Functional Description: This role reports to the Information Technology organization and will be working directly with a team of technology specialists and business innovators to develop industry-leading systems and solutions for Frito-Lay. In recent years, the supply chain has undergone immense and rapid change driven by changes in consumer behavior, business growth and emergent technologies. To continue to succeed in this environment, we’re driving a multi-year journey to digitize manufacturing sites and enable automated data gathering and insights so that our business can effectively navigate future change with speed and agility. As a Data Science intern, you will play a critical role in advancing the agenda of Digital Twins for Manufacturing sites. Specifically, you will be working with IoT technologies, Computer Vision and cloud analytic platforms to gather data and create the following: visual representations of manufacturing sites, virtual sensors, and AI models to solve concrete business problems. Frito-Lay North America (“FLNA”) is a subsidiary of PepsiCo headquartered in Plano, Texas. At FLNA, we have great brands, great distribution systems and great quality products, all of which are led by great people! To ensure we stay on the path of delivering great results, it is important that we continue to develop a deep bench of talented leaders. Our ability to grow year after year is driven by our ability to attract, develop, and retain world class people and support their development across a variety of critical experiences within the PepsiCo environment. Responsibilities Work with large datasets to identify and visualize trends and new business insights Solve for complex problems in manufacturing sites by leveraging IoT platforms, computer vision and by developing AI/ML models Partner with strategic partners to expand digital capabilities Develop scalable tools and solutions to drive automation and optimize manufacturing operations What we’re looking for: Must be passionate about technology and able to apply your knowledge and technical skills to solve real-life business problems Be focused and results driven with a high sense of ownership Have a solid understanding of IoT, AI/ML, and cloud technology Capable of writing clean, organized machine learning code using standard software engineering methodologies Must be able to effectively communicate technical information clearly to both technical and non-technical audiences Qualifications Master’s degree completed within one (1) year of internship completion Development experience in Python, Java, C or equivalent programming language Experience and or familiarity NumPy, Pandas, Pytorch, PostgresSQL, MSSQL, MySQL Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Experience in designing systems to solve business problems EEO Statement 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 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. Please view our Pay Transparency Statement
  Master’s degree completed within one (1) year of internship completion Development experience in Python, Java, C or equivalent programming language Experience and or familiarity NumPy, Pandas, Pytorch, PostgresSQL, MSSQL, MySQL Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Experience in designing systems to solve business problems
  Work with large datasets to identify and visualize trends and new business insights Solve for complex problems in manufacturing sites by leveraging IoT platforms, computer vision and by developing AI/ML models Partner with strategic partners to expand digital capabilities Develop scalable tools and solutions to drive automation and optimize manufacturing operations What we’re looking for: Must be passionate about technology and able to apply your knowledge and technical skills to solve real-life business problems Be focused and results driven with a high sense of ownership Have a solid understanding of IoT, AI/ML, and cloud technology Capable of writing clean, organized machine learning code using standard software engineering methodologies Must be able to effectively communicate technical information clearly to both technical and non-technical audiences

• About the company

  PepsiCo, Inc. is an American multinational food, snack, and beverage corporation headquartered in Harrison, New York, in the hamlet of Purchase. PepsiCo's business encompasses all aspects of the food and beverage market. It oversees the manufacturing, distribution, and marketing of its products.

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