84.51° aims to understand the Kroger customer better than anyone else by leveraging first-party data to develop new methodologies and insights. This enables them to anticipate customer needs, improve business decisions, and enhance customer loyalty and brand growth through strategies in areas like customer loyalty, pricing, promotions, assortment, new product innovation, digital media, local marketing, and direct-to-consumer communications.
Requirements
- An interest in and experience writing efficient and scalable coding (Python, R, SQL, Spark, etc.). Our primary languages are PySpark and Python, though we value any coding experience you may have background in when applying
- Familiarity with version control and/or process improvement and automation (GitHub)
- Experience with data visualization, storytelling, and communicating with diverse business audiences
- Familiarity with theory and application of multiple machine learning techniques (logistic regression, clustering, etc.) and statistical measurement capabilities (Test/Control Methodologies)
- Exposure or experience with generative AI technologies, with the interest & ability to leverage these tools to enhance data-driven insights and develop innovative solutions
Responsibilities
- leverage our vast amount of first party data to develop new methodologies and/or insights
- building data pipelines
- surfacing actionable insights for clients through applied analytics
- machine learning model creation and deployment
- data curation
- machine learning
- statistical analysis
Other
- This program requires you to be in the office 40 hours a week; there are no remote options.
- Program Duration: May 26, 2026 – July 31, 2026
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
- Working towards a bachelor’s degree or higher from a four-year accredited university in Economics, Statistics, Mathematics, Computer Science, Market Research, Business Analytics, Information Systems, Data Science, or another heavily quantitative program. We also consider applicants from other degree fields given prior internship or project experience related to data science and analytics.
- Graduating May/June 2028 or sooner - must be current student at time of internship
- Strong business and commercial acumen with the ability to translate technical concepts for non-technical audiences and link analysis to business impact
- Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
- Interest in working on teams with cross-functional partners such as consultants, engineering, and product owners
