This co-op position offers an opportunity to work on data science and AI projects, focusing on personalization and recommendation systems in e-commerce. Responsibilities include applying machine learning and natural language processing to improve customer experiences and driving business insights. Candidates must be enrolled in a relevant degree program with strong programming skills.
Category/Area of Expertise: Co-Ops
Job Requisition: 454358
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Data Science (5157865)
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 Program Overview:
Get an insider view of the fast-changing grocery retail industr y 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. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities .
** 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 ba sis and be available from January 2 0 , 202 6 through June 5 , 202 6 . 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.* *
Department /Position Description:
The Data Science team at ADUSA is focused on building advanced personalization and recommendation systems to improve the digital grocery shopping experience for millions of customers. We specialize in hyper-personalization, leveraging artificial intelligence, machine learning, natural language processing, and graph-based modeling to generate actionable insights. Our work powers business decisions across e-commerce, marketing, and customer engagement, driving both innovation and measurable growth.
Qualifications:
Individual cohort pay rates vary based on location, academic year, and position.
ME/NC/PA/SC Salary Range: $20.90 - $35.70
IL/MA/MD Salary Range: $22.80 - $37.30
#LI-DNI
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.
Job Requisition: 454358
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Data Science (5157865)
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 Program Overview:
Get an insider view of the fast-changing grocery retail industr y 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. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities .
** 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 ba sis and be available from January 2 0 , 202 6 through June 5 , 202 6 . 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
- Career assistance & mentoring in obtaining full time positions within ADUSA
- Leadership speaker sessions and development activities
- One-on-one mentoring in your area of interest
- 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 and gain executive visibility
Department /Position Description:
The Data Science team at ADUSA is focused on building advanced personalization and recommendation systems to improve the digital grocery shopping experience for millions of customers. We specialize in hyper-personalization, leveraging artificial intelligence, machine learning, natural language processing, and graph-based modeling to generate actionable insights. Our work powers business decisions across e-commerce, marketing, and customer engagement, driving both innovation and measurable growth.
Qualifications:
- Currently enrolled in a bachelor's or master's program in Data Science, AI, Computer Science, Statistics, or a related field.
- Strong programming skills in Python with coursework or projects in data science / AI.
- Familiarity with machine learning concepts, natural language processing, Generative AI, and large language models (LLMs).
- Exposure to graph theory and graph machine learning methods (coursework or independent projects).
- Strong problem-solving skills, intellectual curiosity, and ability to communicate technical results.
Individual cohort pay rates vary based on location, academic year, and position.
ME/NC/PA/SC Salary Range: $20.90 - $35.70
IL/MA/MD Salary Range: $22.80 - $37.30
#LI-DNI
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.
Top Skills
Generative Ai
Graph Machine Learning
Graph Theory
Large Language Models
Machine Learning
Natural Language Processing
Python
Ahold Delhaize USA Quincy, Massachusetts, USA Office
1385 Hancock St, Quincy, MA, United States, 02169
Similar Jobs at Ahold Delhaize USA
AdTech • eCommerce • Food • Marketing Tech • Retail
The Senior Site Reliability Engineer ensures system reliability and performance through automation and operational processes in a cloud-native environment, mentoring junior engineers and collaborating with cross-functional teams.
Top Skills:
AksArgocdAWSAzureBashDatadogDockerElkGCPGithub ActionsGoJavaKafkaKubernetesPrometheusPythonRedisSpring BootTerraformTomcat
AdTech • eCommerce • Food • Marketing Tech • Retail
This role focuses on analyzing and improving business processes within Procurement by utilizing continuous improvement methodologies, facilitating cross-functional collaboration, and providing data-driven recommendations to enhance efficiency.
Top Skills:
DmadvDmaicExcelLeanMicrosoft VisioPowerPointSix SigmaWord
AdTech • eCommerce • Food • Marketing Tech • Retail
Lead infrastructure operations managing UNIX, Linux, and virtualization platforms. Oversee AIX, Red Hat, OpenShift, VMware, and Nutanix environments, ensuring operational efficiency and compliance with service standards.
Top Skills:
AixLinuxNutanixOpenshiftRed Hat LinuxUnixVMware
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
