Solutions Engineering Intern--Big Data Analytics

Job Description

Auto req ID: 191270BR

Job Description

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

Guiding PepsiCo is our vision to be the global leader in convenient foods and beverages by Winning with Purpose. “Winning with Purpose” reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of the business.

Our employees drive our culture. No two days are the same; we’re dynamic and full of passionate teams embracing new ideas through our collaborative spirit. At PepsiCo, what makes you unique, makes us better!

Functional Description:

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.

Our Solutions Engineering team sits within PepsiCo’s Data Science and Analytics team, an internal tech accelerator made up of data scientists, software engineers, technology specialists and business innovators for the Fortune 50 CPG. The ideal applicant will thrive in an environment with broad access to thought leaders but little direct oversight on day to day basis, and where the successful path to a solution often requires exploration and curiosity to find.

What you can expect:

The Solutions Engineering team is currently seeking summer interns to collaborate on a variety of data science & analytics problems. Successful candidates will be responsible for designing, developing and implementing tools to collect new datasets (social media listening, attribute tagging, scraped image recognition) and working under the supervision of a full-time engineer to convert the collected data into meaningful insights.

Roles available in the following locations:

New York, New York

Qualifications/Requirements

What we’re looking for:

  • Create Statistical and/or Machine Learning based models to generate insights from billions of datapoints
  • Identify potential paid & public sources of data and assess their value to the team’s projects
  • Write systems to acquire & format external data sources for use in analytics projects
  • Develop and iteratively improve tools to facilitate reporting and automate data acquisition/analysis
  • Work with the larger data science team to analyze large data sets to uncover trends, patterns, and insights
  • Leverage analytical tools and data science techniques the analysis of large data sets to uncover business insights
  • Maintain existing, essential business processes to ensure data quality and process function
  • Collaborate with non-technical stakeholders to ideate, prioritize and report on data sources and analyses
  • Present approach and findings to technical & non-technical audiences across the company.


Minimum Qualifications:
  • Strong background in Statistics/Machine Learning
  • Rock-Solid Python Skills
  • Undergraduate Degree or equivalent experience in Computer Science or Mathematics and graduate within one (1) year of internship completion
  • Experience with MPP databases (Redshift, Snowflake, etc.) is a plus
  • Experience/familiarity with querying languages such as SQL, PostgresSQL, MSSQL, or MySQL
  • Embodies entrepreneurial mindset and key values of having a bias for action, results-oriented, community-focused, and prioritization of people

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

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring 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.
Please view our Pay Transparency Statement

Relocation Eligible: Not Applicable


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

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring 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

Please view our Pay Transparency Statement