Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Co-op Overview:

Get an insider view of the fast-changing grocery retail industry while developing relevant business, technical and leadership skills geared towards enhancing your career. This paid Co-op experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. Applicants must be currently enrolled in a bachelor's or master's degree program.

**Applicants must be currently authorized to work in the United States on a full-time basis and be available from January 21, 2025, through June 6, 2025. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date.**

• Approximate 6-month Co-op session with competitive pay

• Impactful project work to develop your skills/knowledge

• Leadership speaker sessions and development activities

• One-on-one mentoring

• Involvement in group community service events

• Networking and professional engagement opportunities

• Access to online career development tools and resources

• Opportunity to present project work to company leaders

Department/Position Description:

The Segmentation and Modeling team is part of the ADUSA Digital Data Science department. The department delivers analytical products around customer digital behaviors, promotional offer personalization, various customer and store segmentations, promotional and advertising effectiveness, and forecasting for multiple functional areas in support of the ADUSA banners.

Under close supervision, the co-op position will focus on streamlining and improving the current promotional and advertising effectiveness products. In particular, the focus will be in expanding the products to include marginal effectiveness measures.

Qualifications:

• Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field

• Statistics/Data Science

• Familiar with marketing concepts

• Python

• SQL

• Presentation skills

• Experience working in a collaborative group setting

• Experience using analytical thinking and problem-solving skills

• Demonstrated ability to communicate clearly, appropriately and effectively