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Data Scientist
Posting date: 02/06/2025
Location: Quincy, MA
Category/Area of Expertise: Data-Science & Analytics
Job Requisition: 415223
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Data Science (5157868)
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.
Primary Purpose:
The Data Scientist will support the Ahold Delhaize brand and digital teams and other end users by completing advanced projects, providing models, segmentations, and self-service tools when appropriate, and participating in the maintenance and improvement of internal customer databases. They will act as the Subject Matter Expert for Forecasting and Optimization projects.
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA.
Applicants must be currently authorized to work in the United States on a full-time basis.
Duties & Responsibilities:
Qualifications:
Preferred Qualifications:
Salary Range: $91,120- $140,760
#DICEJobs #LI-hybrid #LI-SS1
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.
We offer an experience where our associates are valued; Diversity, Equity, Inclusion and Belonging are infused in our business and our employees are representative of the communities that we serve. We believe in total wellness, which encompasses a blend of physical, financial and emotional wellness.
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: 415223
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Data Science (5157868)
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.
Primary Purpose:
The Data Scientist will support the Ahold Delhaize brand and digital teams and other end users by completing advanced projects, providing models, segmentations, and self-service tools when appropriate, and participating in the maintenance and improvement of internal customer databases. They will act as the Subject Matter Expert for Forecasting and Optimization projects.
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA.
Applicants must be currently authorized to work in the United States on a full-time basis.
Duties & Responsibilities:
- Complete complex analytics projects for the Digital teams and other banner business partners --this includes Test & Learn, Segmentation, and Predictive Models
- Act as development lead for the team's forecasting models. This includes time-series modeling for fulfillment, demand planning, and food waste
- Provide business partners with recommendations based upon modeling results
- Participate in maintenance and improvement of customer scoring algorithms to the customer database vendor
- Develop self-service analytical tools when appropriate
- Educate banner Loyalty and Marketing teams and other end users about the self-service tools you develop
- Proficient in various analytical tools/methods/knowledge, including tools such as SQL, R, Python etc.
- Methods/Knowledge such as test-control/experimental design, regression (including multivariate), data modeling techniques, cluster, and factor analysis, etc.
- Time-series modeling
- Machine Learning Engineering best practices
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Economics
- Time-series modeling
- Working knowledge of how models are productionized
- Advanced knowledge of Python and SQL
- Ability to break tasks into smaller pieces
- Strong communication skills
Preferred Qualifications:
- Familiarity with Software Development Lifecycle and Agile project management
- 3-5 years of experience in a data scientist role with a Bachelors Degree or 2 years with a Master's Degree
- Experience building forecasting models in either Operations or Demand Forecasting domains
- Experience deploying models to production
Salary Range: $91,120- $140,760
#DICEJobs #LI-hybrid #LI-SS1
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.
We offer an experience where our associates are valued; Diversity, Equity, Inclusion and Belonging are infused in our business and our employees are representative of the communities that we serve. We believe in total wellness, which encompasses a blend of physical, financial and emotional wellness.
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.
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